DenseNet
- DenseNet의 전체적인 구조

Dense Connectivity
xl=f([x0,x1,...,xl−1])
ResNet의 Add와 다르게 Concatenate를 사용
Implementation
- Architecture

위 구조에 따라 구현 (growth rate=32)
Util Functions
def get_full_props(properties):
assert properties.get('filters') is not None
assert properties.get('kernel_size') is not None
assert properties.get('padding') in ['valid','same', None]
filters = properties.get('filters')
kernel_size = properties.get('kernel_size')
strides = properties.get('strides',(1,1))
padding = properties.get('padding','same')
kernel_initializer = properties.get('kernel_initializer', 'HeNormal')
kernel_regularizer = properties.get('kernel_regularizer', L2(1.e-4))
return filters, kernel_size, strides, padding, kernel_initializer, kernel_regularizer
def _conv(inputs, **properties):
filters, kernel_size, strides, padding, kernel_initializer, kernel_regularizer = get_full_props(properties)
x = Conv2D(filters=filters, kernel_size=kernel_size, strides=strides, padding=padding,
kernel_initializer=kernel_initializer, kernel_regularizer=kernel_regularizer)(inputs)
return x
def _bn_relu(inputs):
x = BatchNormalization()(inputs)
x = Activation('relu')(x)
return x
def _conv_bn_relu(inputs, **properties):
x = _conv(inputs, **properties)
x = _bn_relu(x)
return x
def _bn_relu_conv(inputs, **properties):
x = _bn_relu(inputs)
x = _conv(x, **properties)
return x
def _bottleneck(inputs, filters):
x = _bn_relu_conv(inputs, filters=filters, kernel_size=(1,1))
return x
DenseNet
def DenseNet():
# (figure)의 Convolution
def Convolution(inputs):
x = _conv_bn_relu(inputs, filters=growth_rate*2, kernel_size=(7,7), strides=2, padding='same')
return x
# (figure)의 Pooling
def Pooling(inputs):
x = MaxPool2D((3,3), strides=2, padding='same')(inputs)
return x
# (figure)의 Dense Block
def Dense_Block(inputs, rep):
for i in range(rep):
x = _bottleneck(inputs, filters=growth_rate*4)
x = _bn_relu_conv(x, filters=growth_rate, kernel_size=(3,3))
x = Concatenate()([inputs, x])
inputs = x
return x
# (figure)의 Transition Layer
def Transition_Layer(inputs, theta):
x = _bn_relu_conv(inputs,
filters=int(K.int_shape(inputs)[-1]*theta),
kernel_size=(1,1))
x = AvgPool2D((2,2), strides=2)(x)
return x
# (figure)의 Classification Layer
def Classification_Layer(inputs):
x = GlobalAvgPool2D()(inputs)
x = Dense(num_class, activation='softmax', kernel_initializer='HeNormal')(x)
return x
# k = 32, 마지막 softmax 레이어 dim 1000
growth_rate = 32
num_class = 1000
reps = {'DenseNet-121': [6,12,24,16], 'DenseNet-169': [6,12,32,32],
'DenseNet-201': [6,12,48,32], 'DenseNet-264': [6,12,64,48]}
inputs = Input(shape = (224,224,3))
x = Convolution(inputs)
x = Pooling(x)
for i, rep in enumerate(reps['DenseNet-121']):
x = Dense_Block(x, rep)
if i<3:
x = Transition_Layer(x, 0.5)
outputs = Classification_Layer(x)
model = Model(inputs, outputs)
return model
Model Summary
굉장히 Deep 하지만 파라미터 수는 8M 정도로 낮은편
model = DenseNet()
model.compile(optimizer=Adam(), loss='sparse_categorical_crossentropy', metrics=['acc'])
'''
Model: "model"
__________________________________________________________________________________________________
Layer (type) Output Shape Param # Connected to
==================================================================================================
input_1 (InputLayer) [(None, 224, 224, 3) 0
__________________________________________________________________________________________________
conv2d (Conv2D) (None, 112, 112, 64) 9472 input_1[0][0]
__________________________________________________________________________________________________
batch_normalization (BatchNorma (None, 112, 112, 64) 256 conv2d[0][0]
__________________________________________________________________________________________________
activation (Activation) (None, 112, 112, 64) 0 batch_normalization[0][0]
__________________________________________________________________________________________________
max_pooling2d (MaxPooling2D) (None, 56, 56, 64) 0 activation[0][0]
__________________________________________________________________________________________________
batch_normalization_1 (BatchNor (None, 56, 56, 64) 256 max_pooling2d[0][0]
__________________________________________________________________________________________________
activation_1 (Activation) (None, 56, 56, 64) 0 batch_normalization_1[0][0]
__________________________________________________________________________________________________
conv2d_1 (Conv2D) (None, 56, 56, 128) 8320 activation_1[0][0]
__________________________________________________________________________________________________
batch_normalization_2 (BatchNor (None, 56, 56, 128) 512 conv2d_1[0][0]
__________________________________________________________________________________________________
activation_2 (Activation) (None, 56, 56, 128) 0 batch_normalization_2[0][0]
__________________________________________________________________________________________________
conv2d_2 (Conv2D) (None, 56, 56, 32) 36896 activation_2[0][0]
__________________________________________________________________________________________________
concatenate (Concatenate) (None, 56, 56, 96) 0 max_pooling2d[0][0]
conv2d_2[0][0]
__________________________________________________________________________________________________
batch_normalization_3 (BatchNor (None, 56, 56, 96) 384 concatenate[0][0]
__________________________________________________________________________________________________
activation_3 (Activation) (None, 56, 56, 96) 0 batch_normalization_3[0][0]
__________________________________________________________________________________________________
conv2d_3 (Conv2D) (None, 56, 56, 128) 12416 activation_3[0][0]
__________________________________________________________________________________________________
batch_normalization_4 (BatchNor (None, 56, 56, 128) 512 conv2d_3[0][0]
__________________________________________________________________________________________________
activation_4 (Activation) (None, 56, 56, 128) 0 batch_normalization_4[0][0]
__________________________________________________________________________________________________
conv2d_4 (Conv2D) (None, 56, 56, 32) 36896 activation_4[0][0]
__________________________________________________________________________________________________
concatenate_1 (Concatenate) (None, 56, 56, 128) 0 concatenate[0][0]
conv2d_4[0][0]
__________________________________________________________________________________________________
batch_normalization_5 (BatchNor (None, 56, 56, 128) 512 concatenate_1[0][0]
__________________________________________________________________________________________________
activation_5 (Activation) (None, 56, 56, 128) 0 batch_normalization_5[0][0]
__________________________________________________________________________________________________
conv2d_5 (Conv2D) (None, 56, 56, 128) 16512 activation_5[0][0]
__________________________________________________________________________________________________
batch_normalization_6 (BatchNor (None, 56, 56, 128) 512 conv2d_5[0][0]
__________________________________________________________________________________________________
activation_6 (Activation) (None, 56, 56, 128) 0 batch_normalization_6[0][0]
__________________________________________________________________________________________________
conv2d_6 (Conv2D) (None, 56, 56, 32) 36896 activation_6[0][0]
__________________________________________________________________________________________________
concatenate_2 (Concatenate) (None, 56, 56, 160) 0 concatenate_1[0][0]
conv2d_6[0][0]
__________________________________________________________________________________________________
batch_normalization_7 (BatchNor (None, 56, 56, 160) 640 concatenate_2[0][0]
__________________________________________________________________________________________________
activation_7 (Activation) (None, 56, 56, 160) 0 batch_normalization_7[0][0]
__________________________________________________________________________________________________
conv2d_7 (Conv2D) (None, 56, 56, 128) 20608 activation_7[0][0]
__________________________________________________________________________________________________
batch_normalization_8 (BatchNor (None, 56, 56, 128) 512 conv2d_7[0][0]
__________________________________________________________________________________________________
activation_8 (Activation) (None, 56, 56, 128) 0 batch_normalization_8[0][0]
__________________________________________________________________________________________________
conv2d_8 (Conv2D) (None, 56, 56, 32) 36896 activation_8[0][0]
__________________________________________________________________________________________________
concatenate_3 (Concatenate) (None, 56, 56, 192) 0 concatenate_2[0][0]
conv2d_8[0][0]
__________________________________________________________________________________________________
batch_normalization_9 (BatchNor (None, 56, 56, 192) 768 concatenate_3[0][0]
__________________________________________________________________________________________________
activation_9 (Activation) (None, 56, 56, 192) 0 batch_normalization_9[0][0]
__________________________________________________________________________________________________
conv2d_9 (Conv2D) (None, 56, 56, 128) 24704 activation_9[0][0]
__________________________________________________________________________________________________
batch_normalization_10 (BatchNo (None, 56, 56, 128) 512 conv2d_9[0][0]
__________________________________________________________________________________________________
activation_10 (Activation) (None, 56, 56, 128) 0 batch_normalization_10[0][0]
__________________________________________________________________________________________________
conv2d_10 (Conv2D) (None, 56, 56, 32) 36896 activation_10[0][0]
__________________________________________________________________________________________________
concatenate_4 (Concatenate) (None, 56, 56, 224) 0 concatenate_3[0][0]
conv2d_10[0][0]
__________________________________________________________________________________________________
batch_normalization_11 (BatchNo (None, 56, 56, 224) 896 concatenate_4[0][0]
__________________________________________________________________________________________________
activation_11 (Activation) (None, 56, 56, 224) 0 batch_normalization_11[0][0]
__________________________________________________________________________________________________
conv2d_11 (Conv2D) (None, 56, 56, 128) 28800 activation_11[0][0]
__________________________________________________________________________________________________
batch_normalization_12 (BatchNo (None, 56, 56, 128) 512 conv2d_11[0][0]
__________________________________________________________________________________________________
activation_12 (Activation) (None, 56, 56, 128) 0 batch_normalization_12[0][0]
__________________________________________________________________________________________________
conv2d_12 (Conv2D) (None, 56, 56, 32) 36896 activation_12[0][0]
__________________________________________________________________________________________________
concatenate_5 (Concatenate) (None, 56, 56, 256) 0 concatenate_4[0][0]
conv2d_12[0][0]
__________________________________________________________________________________________________
batch_normalization_13 (BatchNo (None, 56, 56, 256) 1024 concatenate_5[0][0]
__________________________________________________________________________________________________
activation_13 (Activation) (None, 56, 56, 256) 0 batch_normalization_13[0][0]
__________________________________________________________________________________________________
conv2d_13 (Conv2D) (None, 56, 56, 128) 32896 activation_13[0][0]
__________________________________________________________________________________________________
average_pooling2d (AveragePooli (None, 28, 28, 128) 0 conv2d_13[0][0]
__________________________________________________________________________________________________
batch_normalization_14 (BatchNo (None, 28, 28, 128) 512 average_pooling2d[0][0]
__________________________________________________________________________________________________
activation_14 (Activation) (None, 28, 28, 128) 0 batch_normalization_14[0][0]
__________________________________________________________________________________________________
conv2d_14 (Conv2D) (None, 28, 28, 128) 16512 activation_14[0][0]
__________________________________________________________________________________________________
batch_normalization_15 (BatchNo (None, 28, 28, 128) 512 conv2d_14[0][0]
__________________________________________________________________________________________________
activation_15 (Activation) (None, 28, 28, 128) 0 batch_normalization_15[0][0]
__________________________________________________________________________________________________
conv2d_15 (Conv2D) (None, 28, 28, 32) 36896 activation_15[0][0]
__________________________________________________________________________________________________
concatenate_6 (Concatenate) (None, 28, 28, 160) 0 average_pooling2d[0][0]
conv2d_15[0][0]
__________________________________________________________________________________________________
batch_normalization_16 (BatchNo (None, 28, 28, 160) 640 concatenate_6[0][0]
__________________________________________________________________________________________________
activation_16 (Activation) (None, 28, 28, 160) 0 batch_normalization_16[0][0]
__________________________________________________________________________________________________
conv2d_16 (Conv2D) (None, 28, 28, 128) 20608 activation_16[0][0]
__________________________________________________________________________________________________
batch_normalization_17 (BatchNo (None, 28, 28, 128) 512 conv2d_16[0][0]
__________________________________________________________________________________________________
activation_17 (Activation) (None, 28, 28, 128) 0 batch_normalization_17[0][0]
__________________________________________________________________________________________________
conv2d_17 (Conv2D) (None, 28, 28, 32) 36896 activation_17[0][0]
__________________________________________________________________________________________________
concatenate_7 (Concatenate) (None, 28, 28, 192) 0 concatenate_6[0][0]
conv2d_17[0][0]
__________________________________________________________________________________________________
batch_normalization_18 (BatchNo (None, 28, 28, 192) 768 concatenate_7[0][0]
__________________________________________________________________________________________________
activation_18 (Activation) (None, 28, 28, 192) 0 batch_normalization_18[0][0]
__________________________________________________________________________________________________
conv2d_18 (Conv2D) (None, 28, 28, 128) 24704 activation_18[0][0]
__________________________________________________________________________________________________
batch_normalization_19 (BatchNo (None, 28, 28, 128) 512 conv2d_18[0][0]
__________________________________________________________________________________________________
activation_19 (Activation) (None, 28, 28, 128) 0 batch_normalization_19[0][0]
__________________________________________________________________________________________________
conv2d_19 (Conv2D) (None, 28, 28, 32) 36896 activation_19[0][0]
__________________________________________________________________________________________________
concatenate_8 (Concatenate) (None, 28, 28, 224) 0 concatenate_7[0][0]
conv2d_19[0][0]
__________________________________________________________________________________________________
batch_normalization_20 (BatchNo (None, 28, 28, 224) 896 concatenate_8[0][0]
__________________________________________________________________________________________________
activation_20 (Activation) (None, 28, 28, 224) 0 batch_normalization_20[0][0]
__________________________________________________________________________________________________
conv2d_20 (Conv2D) (None, 28, 28, 128) 28800 activation_20[0][0]
__________________________________________________________________________________________________
batch_normalization_21 (BatchNo (None, 28, 28, 128) 512 conv2d_20[0][0]
__________________________________________________________________________________________________
activation_21 (Activation) (None, 28, 28, 128) 0 batch_normalization_21[0][0]
__________________________________________________________________________________________________
conv2d_21 (Conv2D) (None, 28, 28, 32) 36896 activation_21[0][0]
__________________________________________________________________________________________________
concatenate_9 (Concatenate) (None, 28, 28, 256) 0 concatenate_8[0][0]
conv2d_21[0][0]
__________________________________________________________________________________________________
batch_normalization_22 (BatchNo (None, 28, 28, 256) 1024 concatenate_9[0][0]
__________________________________________________________________________________________________
activation_22 (Activation) (None, 28, 28, 256) 0 batch_normalization_22[0][0]
__________________________________________________________________________________________________
conv2d_22 (Conv2D) (None, 28, 28, 128) 32896 activation_22[0][0]
__________________________________________________________________________________________________
batch_normalization_23 (BatchNo (None, 28, 28, 128) 512 conv2d_22[0][0]
__________________________________________________________________________________________________
activation_23 (Activation) (None, 28, 28, 128) 0 batch_normalization_23[0][0]
__________________________________________________________________________________________________
conv2d_23 (Conv2D) (None, 28, 28, 32) 36896 activation_23[0][0]
__________________________________________________________________________________________________
concatenate_10 (Concatenate) (None, 28, 28, 288) 0 concatenate_9[0][0]
conv2d_23[0][0]
__________________________________________________________________________________________________
batch_normalization_24 (BatchNo (None, 28, 28, 288) 1152 concatenate_10[0][0]
__________________________________________________________________________________________________
activation_24 (Activation) (None, 28, 28, 288) 0 batch_normalization_24[0][0]
__________________________________________________________________________________________________
conv2d_24 (Conv2D) (None, 28, 28, 128) 36992 activation_24[0][0]
__________________________________________________________________________________________________
batch_normalization_25 (BatchNo (None, 28, 28, 128) 512 conv2d_24[0][0]
__________________________________________________________________________________________________
activation_25 (Activation) (None, 28, 28, 128) 0 batch_normalization_25[0][0]
__________________________________________________________________________________________________
conv2d_25 (Conv2D) (None, 28, 28, 32) 36896 activation_25[0][0]
__________________________________________________________________________________________________
concatenate_11 (Concatenate) (None, 28, 28, 320) 0 concatenate_10[0][0]
conv2d_25[0][0]
__________________________________________________________________________________________________
batch_normalization_26 (BatchNo (None, 28, 28, 320) 1280 concatenate_11[0][0]
__________________________________________________________________________________________________
activation_26 (Activation) (None, 28, 28, 320) 0 batch_normalization_26[0][0]
__________________________________________________________________________________________________
conv2d_26 (Conv2D) (None, 28, 28, 128) 41088 activation_26[0][0]
__________________________________________________________________________________________________
batch_normalization_27 (BatchNo (None, 28, 28, 128) 512 conv2d_26[0][0]
__________________________________________________________________________________________________
activation_27 (Activation) (None, 28, 28, 128) 0 batch_normalization_27[0][0]
__________________________________________________________________________________________________
conv2d_27 (Conv2D) (None, 28, 28, 32) 36896 activation_27[0][0]
__________________________________________________________________________________________________
concatenate_12 (Concatenate) (None, 28, 28, 352) 0 concatenate_11[0][0]
conv2d_27[0][0]
__________________________________________________________________________________________________
batch_normalization_28 (BatchNo (None, 28, 28, 352) 1408 concatenate_12[0][0]
__________________________________________________________________________________________________
activation_28 (Activation) (None, 28, 28, 352) 0 batch_normalization_28[0][0]
__________________________________________________________________________________________________
conv2d_28 (Conv2D) (None, 28, 28, 128) 45184 activation_28[0][0]
__________________________________________________________________________________________________
batch_normalization_29 (BatchNo (None, 28, 28, 128) 512 conv2d_28[0][0]
__________________________________________________________________________________________________
activation_29 (Activation) (None, 28, 28, 128) 0 batch_normalization_29[0][0]
__________________________________________________________________________________________________
conv2d_29 (Conv2D) (None, 28, 28, 32) 36896 activation_29[0][0]
__________________________________________________________________________________________________
concatenate_13 (Concatenate) (None, 28, 28, 384) 0 concatenate_12[0][0]
conv2d_29[0][0]
__________________________________________________________________________________________________
batch_normalization_30 (BatchNo (None, 28, 28, 384) 1536 concatenate_13[0][0]
__________________________________________________________________________________________________
activation_30 (Activation) (None, 28, 28, 384) 0 batch_normalization_30[0][0]
__________________________________________________________________________________________________
conv2d_30 (Conv2D) (None, 28, 28, 128) 49280 activation_30[0][0]
__________________________________________________________________________________________________
batch_normalization_31 (BatchNo (None, 28, 28, 128) 512 conv2d_30[0][0]
__________________________________________________________________________________________________
activation_31 (Activation) (None, 28, 28, 128) 0 batch_normalization_31[0][0]
__________________________________________________________________________________________________
conv2d_31 (Conv2D) (None, 28, 28, 32) 36896 activation_31[0][0]
__________________________________________________________________________________________________
concatenate_14 (Concatenate) (None, 28, 28, 416) 0 concatenate_13[0][0]
conv2d_31[0][0]
__________________________________________________________________________________________________
batch_normalization_32 (BatchNo (None, 28, 28, 416) 1664 concatenate_14[0][0]
__________________________________________________________________________________________________
activation_32 (Activation) (None, 28, 28, 416) 0 batch_normalization_32[0][0]
__________________________________________________________________________________________________
conv2d_32 (Conv2D) (None, 28, 28, 128) 53376 activation_32[0][0]
__________________________________________________________________________________________________
batch_normalization_33 (BatchNo (None, 28, 28, 128) 512 conv2d_32[0][0]
__________________________________________________________________________________________________
activation_33 (Activation) (None, 28, 28, 128) 0 batch_normalization_33[0][0]
__________________________________________________________________________________________________
conv2d_33 (Conv2D) (None, 28, 28, 32) 36896 activation_33[0][0]
__________________________________________________________________________________________________
concatenate_15 (Concatenate) (None, 28, 28, 448) 0 concatenate_14[0][0]
conv2d_33[0][0]
__________________________________________________________________________________________________
batch_normalization_34 (BatchNo (None, 28, 28, 448) 1792 concatenate_15[0][0]
__________________________________________________________________________________________________
activation_34 (Activation) (None, 28, 28, 448) 0 batch_normalization_34[0][0]
__________________________________________________________________________________________________
conv2d_34 (Conv2D) (None, 28, 28, 128) 57472 activation_34[0][0]
__________________________________________________________________________________________________
batch_normalization_35 (BatchNo (None, 28, 28, 128) 512 conv2d_34[0][0]
__________________________________________________________________________________________________
activation_35 (Activation) (None, 28, 28, 128) 0 batch_normalization_35[0][0]
__________________________________________________________________________________________________
conv2d_35 (Conv2D) (None, 28, 28, 32) 36896 activation_35[0][0]
__________________________________________________________________________________________________
concatenate_16 (Concatenate) (None, 28, 28, 480) 0 concatenate_15[0][0]
conv2d_35[0][0]
__________________________________________________________________________________________________
batch_normalization_36 (BatchNo (None, 28, 28, 480) 1920 concatenate_16[0][0]
__________________________________________________________________________________________________
activation_36 (Activation) (None, 28, 28, 480) 0 batch_normalization_36[0][0]
__________________________________________________________________________________________________
conv2d_36 (Conv2D) (None, 28, 28, 128) 61568 activation_36[0][0]
__________________________________________________________________________________________________
batch_normalization_37 (BatchNo (None, 28, 28, 128) 512 conv2d_36[0][0]
__________________________________________________________________________________________________
activation_37 (Activation) (None, 28, 28, 128) 0 batch_normalization_37[0][0]
__________________________________________________________________________________________________
conv2d_37 (Conv2D) (None, 28, 28, 32) 36896 activation_37[0][0]
__________________________________________________________________________________________________
concatenate_17 (Concatenate) (None, 28, 28, 512) 0 concatenate_16[0][0]
conv2d_37[0][0]
__________________________________________________________________________________________________
batch_normalization_38 (BatchNo (None, 28, 28, 512) 2048 concatenate_17[0][0]
__________________________________________________________________________________________________
activation_38 (Activation) (None, 28, 28, 512) 0 batch_normalization_38[0][0]
__________________________________________________________________________________________________
conv2d_38 (Conv2D) (None, 28, 28, 256) 131328 activation_38[0][0]
__________________________________________________________________________________________________
average_pooling2d_1 (AveragePoo (None, 14, 14, 256) 0 conv2d_38[0][0]
__________________________________________________________________________________________________
batch_normalization_39 (BatchNo (None, 14, 14, 256) 1024 average_pooling2d_1[0][0]
__________________________________________________________________________________________________
activation_39 (Activation) (None, 14, 14, 256) 0 batch_normalization_39[0][0]
__________________________________________________________________________________________________
conv2d_39 (Conv2D) (None, 14, 14, 128) 32896 activation_39[0][0]
__________________________________________________________________________________________________
batch_normalization_40 (BatchNo (None, 14, 14, 128) 512 conv2d_39[0][0]
__________________________________________________________________________________________________
activation_40 (Activation) (None, 14, 14, 128) 0 batch_normalization_40[0][0]
__________________________________________________________________________________________________
conv2d_40 (Conv2D) (None, 14, 14, 32) 36896 activation_40[0][0]
__________________________________________________________________________________________________
concatenate_18 (Concatenate) (None, 14, 14, 288) 0 average_pooling2d_1[0][0]
conv2d_40[0][0]
__________________________________________________________________________________________________
batch_normalization_41 (BatchNo (None, 14, 14, 288) 1152 concatenate_18[0][0]
__________________________________________________________________________________________________
activation_41 (Activation) (None, 14, 14, 288) 0 batch_normalization_41[0][0]
__________________________________________________________________________________________________
conv2d_41 (Conv2D) (None, 14, 14, 128) 36992 activation_41[0][0]
__________________________________________________________________________________________________
batch_normalization_42 (BatchNo (None, 14, 14, 128) 512 conv2d_41[0][0]
__________________________________________________________________________________________________
activation_42 (Activation) (None, 14, 14, 128) 0 batch_normalization_42[0][0]
__________________________________________________________________________________________________
conv2d_42 (Conv2D) (None, 14, 14, 32) 36896 activation_42[0][0]
__________________________________________________________________________________________________
concatenate_19 (Concatenate) (None, 14, 14, 320) 0 concatenate_18[0][0]
conv2d_42[0][0]
__________________________________________________________________________________________________
batch_normalization_43 (BatchNo (None, 14, 14, 320) 1280 concatenate_19[0][0]
__________________________________________________________________________________________________
activation_43 (Activation) (None, 14, 14, 320) 0 batch_normalization_43[0][0]
__________________________________________________________________________________________________
conv2d_43 (Conv2D) (None, 14, 14, 128) 41088 activation_43[0][0]
__________________________________________________________________________________________________
batch_normalization_44 (BatchNo (None, 14, 14, 128) 512 conv2d_43[0][0]
__________________________________________________________________________________________________
activation_44 (Activation) (None, 14, 14, 128) 0 batch_normalization_44[0][0]
__________________________________________________________________________________________________
conv2d_44 (Conv2D) (None, 14, 14, 32) 36896 activation_44[0][0]
__________________________________________________________________________________________________
concatenate_20 (Concatenate) (None, 14, 14, 352) 0 concatenate_19[0][0]
conv2d_44[0][0]
__________________________________________________________________________________________________
batch_normalization_45 (BatchNo (None, 14, 14, 352) 1408 concatenate_20[0][0]
__________________________________________________________________________________________________
activation_45 (Activation) (None, 14, 14, 352) 0 batch_normalization_45[0][0]
__________________________________________________________________________________________________
conv2d_45 (Conv2D) (None, 14, 14, 128) 45184 activation_45[0][0]
__________________________________________________________________________________________________
batch_normalization_46 (BatchNo (None, 14, 14, 128) 512 conv2d_45[0][0]
__________________________________________________________________________________________________
activation_46 (Activation) (None, 14, 14, 128) 0 batch_normalization_46[0][0]
__________________________________________________________________________________________________
conv2d_46 (Conv2D) (None, 14, 14, 32) 36896 activation_46[0][0]
__________________________________________________________________________________________________
concatenate_21 (Concatenate) (None, 14, 14, 384) 0 concatenate_20[0][0]
conv2d_46[0][0]
__________________________________________________________________________________________________
batch_normalization_47 (BatchNo (None, 14, 14, 384) 1536 concatenate_21[0][0]
__________________________________________________________________________________________________
activation_47 (Activation) (None, 14, 14, 384) 0 batch_normalization_47[0][0]
__________________________________________________________________________________________________
conv2d_47 (Conv2D) (None, 14, 14, 128) 49280 activation_47[0][0]
__________________________________________________________________________________________________
batch_normalization_48 (BatchNo (None, 14, 14, 128) 512 conv2d_47[0][0]
__________________________________________________________________________________________________
activation_48 (Activation) (None, 14, 14, 128) 0 batch_normalization_48[0][0]
__________________________________________________________________________________________________
conv2d_48 (Conv2D) (None, 14, 14, 32) 36896 activation_48[0][0]
__________________________________________________________________________________________________
concatenate_22 (Concatenate) (None, 14, 14, 416) 0 concatenate_21[0][0]
conv2d_48[0][0]
__________________________________________________________________________________________________
batch_normalization_49 (BatchNo (None, 14, 14, 416) 1664 concatenate_22[0][0]
__________________________________________________________________________________________________
activation_49 (Activation) (None, 14, 14, 416) 0 batch_normalization_49[0][0]
__________________________________________________________________________________________________
conv2d_49 (Conv2D) (None, 14, 14, 128) 53376 activation_49[0][0]
__________________________________________________________________________________________________
batch_normalization_50 (BatchNo (None, 14, 14, 128) 512 conv2d_49[0][0]
__________________________________________________________________________________________________
activation_50 (Activation) (None, 14, 14, 128) 0 batch_normalization_50[0][0]
__________________________________________________________________________________________________
conv2d_50 (Conv2D) (None, 14, 14, 32) 36896 activation_50[0][0]
__________________________________________________________________________________________________
concatenate_23 (Concatenate) (None, 14, 14, 448) 0 concatenate_22[0][0]
conv2d_50[0][0]
__________________________________________________________________________________________________
batch_normalization_51 (BatchNo (None, 14, 14, 448) 1792 concatenate_23[0][0]
__________________________________________________________________________________________________
activation_51 (Activation) (None, 14, 14, 448) 0 batch_normalization_51[0][0]
__________________________________________________________________________________________________
conv2d_51 (Conv2D) (None, 14, 14, 128) 57472 activation_51[0][0]
__________________________________________________________________________________________________
batch_normalization_52 (BatchNo (None, 14, 14, 128) 512 conv2d_51[0][0]
__________________________________________________________________________________________________
activation_52 (Activation) (None, 14, 14, 128) 0 batch_normalization_52[0][0]
__________________________________________________________________________________________________
conv2d_52 (Conv2D) (None, 14, 14, 32) 36896 activation_52[0][0]
__________________________________________________________________________________________________
concatenate_24 (Concatenate) (None, 14, 14, 480) 0 concatenate_23[0][0]
conv2d_52[0][0]
__________________________________________________________________________________________________
batch_normalization_53 (BatchNo (None, 14, 14, 480) 1920 concatenate_24[0][0]
__________________________________________________________________________________________________
activation_53 (Activation) (None, 14, 14, 480) 0 batch_normalization_53[0][0]
__________________________________________________________________________________________________
conv2d_53 (Conv2D) (None, 14, 14, 128) 61568 activation_53[0][0]
__________________________________________________________________________________________________
batch_normalization_54 (BatchNo (None, 14, 14, 128) 512 conv2d_53[0][0]
__________________________________________________________________________________________________
activation_54 (Activation) (None, 14, 14, 128) 0 batch_normalization_54[0][0]
__________________________________________________________________________________________________
conv2d_54 (Conv2D) (None, 14, 14, 32) 36896 activation_54[0][0]
__________________________________________________________________________________________________
concatenate_25 (Concatenate) (None, 14, 14, 512) 0 concatenate_24[0][0]
conv2d_54[0][0]
__________________________________________________________________________________________________
batch_normalization_55 (BatchNo (None, 14, 14, 512) 2048 concatenate_25[0][0]
__________________________________________________________________________________________________
activation_55 (Activation) (None, 14, 14, 512) 0 batch_normalization_55[0][0]
__________________________________________________________________________________________________
conv2d_55 (Conv2D) (None, 14, 14, 128) 65664 activation_55[0][0]
__________________________________________________________________________________________________
batch_normalization_56 (BatchNo (None, 14, 14, 128) 512 conv2d_55[0][0]
__________________________________________________________________________________________________
activation_56 (Activation) (None, 14, 14, 128) 0 batch_normalization_56[0][0]
__________________________________________________________________________________________________
conv2d_56 (Conv2D) (None, 14, 14, 32) 36896 activation_56[0][0]
__________________________________________________________________________________________________
concatenate_26 (Concatenate) (None, 14, 14, 544) 0 concatenate_25[0][0]
conv2d_56[0][0]
__________________________________________________________________________________________________
batch_normalization_57 (BatchNo (None, 14, 14, 544) 2176 concatenate_26[0][0]
__________________________________________________________________________________________________
activation_57 (Activation) (None, 14, 14, 544) 0 batch_normalization_57[0][0]
__________________________________________________________________________________________________
conv2d_57 (Conv2D) (None, 14, 14, 128) 69760 activation_57[0][0]
__________________________________________________________________________________________________
batch_normalization_58 (BatchNo (None, 14, 14, 128) 512 conv2d_57[0][0]
__________________________________________________________________________________________________
activation_58 (Activation) (None, 14, 14, 128) 0 batch_normalization_58[0][0]
__________________________________________________________________________________________________
conv2d_58 (Conv2D) (None, 14, 14, 32) 36896 activation_58[0][0]
__________________________________________________________________________________________________
concatenate_27 (Concatenate) (None, 14, 14, 576) 0 concatenate_26[0][0]
conv2d_58[0][0]
__________________________________________________________________________________________________
batch_normalization_59 (BatchNo (None, 14, 14, 576) 2304 concatenate_27[0][0]
__________________________________________________________________________________________________
activation_59 (Activation) (None, 14, 14, 576) 0 batch_normalization_59[0][0]
__________________________________________________________________________________________________
conv2d_59 (Conv2D) (None, 14, 14, 128) 73856 activation_59[0][0]
__________________________________________________________________________________________________
batch_normalization_60 (BatchNo (None, 14, 14, 128) 512 conv2d_59[0][0]
__________________________________________________________________________________________________
activation_60 (Activation) (None, 14, 14, 128) 0 batch_normalization_60[0][0]
__________________________________________________________________________________________________
conv2d_60 (Conv2D) (None, 14, 14, 32) 36896 activation_60[0][0]
__________________________________________________________________________________________________
concatenate_28 (Concatenate) (None, 14, 14, 608) 0 concatenate_27[0][0]
conv2d_60[0][0]
__________________________________________________________________________________________________
batch_normalization_61 (BatchNo (None, 14, 14, 608) 2432 concatenate_28[0][0]
__________________________________________________________________________________________________
activation_61 (Activation) (None, 14, 14, 608) 0 batch_normalization_61[0][0]
__________________________________________________________________________________________________
conv2d_61 (Conv2D) (None, 14, 14, 128) 77952 activation_61[0][0]
__________________________________________________________________________________________________
batch_normalization_62 (BatchNo (None, 14, 14, 128) 512 conv2d_61[0][0]
__________________________________________________________________________________________________
activation_62 (Activation) (None, 14, 14, 128) 0 batch_normalization_62[0][0]
__________________________________________________________________________________________________
conv2d_62 (Conv2D) (None, 14, 14, 32) 36896 activation_62[0][0]
__________________________________________________________________________________________________
concatenate_29 (Concatenate) (None, 14, 14, 640) 0 concatenate_28[0][0]
conv2d_62[0][0]
__________________________________________________________________________________________________
batch_normalization_63 (BatchNo (None, 14, 14, 640) 2560 concatenate_29[0][0]
__________________________________________________________________________________________________
activation_63 (Activation) (None, 14, 14, 640) 0 batch_normalization_63[0][0]
__________________________________________________________________________________________________
conv2d_63 (Conv2D) (None, 14, 14, 128) 82048 activation_63[0][0]
__________________________________________________________________________________________________
batch_normalization_64 (BatchNo (None, 14, 14, 128) 512 conv2d_63[0][0]
__________________________________________________________________________________________________
activation_64 (Activation) (None, 14, 14, 128) 0 batch_normalization_64[0][0]
__________________________________________________________________________________________________
conv2d_64 (Conv2D) (None, 14, 14, 32) 36896 activation_64[0][0]
__________________________________________________________________________________________________
concatenate_30 (Concatenate) (None, 14, 14, 672) 0 concatenate_29[0][0]
conv2d_64[0][0]
__________________________________________________________________________________________________
batch_normalization_65 (BatchNo (None, 14, 14, 672) 2688 concatenate_30[0][0]
__________________________________________________________________________________________________
activation_65 (Activation) (None, 14, 14, 672) 0 batch_normalization_65[0][0]
__________________________________________________________________________________________________
conv2d_65 (Conv2D) (None, 14, 14, 128) 86144 activation_65[0][0]
__________________________________________________________________________________________________
batch_normalization_66 (BatchNo (None, 14, 14, 128) 512 conv2d_65[0][0]
__________________________________________________________________________________________________
activation_66 (Activation) (None, 14, 14, 128) 0 batch_normalization_66[0][0]
__________________________________________________________________________________________________
conv2d_66 (Conv2D) (None, 14, 14, 32) 36896 activation_66[0][0]
__________________________________________________________________________________________________
concatenate_31 (Concatenate) (None, 14, 14, 704) 0 concatenate_30[0][0]
conv2d_66[0][0]
__________________________________________________________________________________________________
batch_normalization_67 (BatchNo (None, 14, 14, 704) 2816 concatenate_31[0][0]
__________________________________________________________________________________________________
activation_67 (Activation) (None, 14, 14, 704) 0 batch_normalization_67[0][0]
__________________________________________________________________________________________________
conv2d_67 (Conv2D) (None, 14, 14, 128) 90240 activation_67[0][0]
__________________________________________________________________________________________________
batch_normalization_68 (BatchNo (None, 14, 14, 128) 512 conv2d_67[0][0]
__________________________________________________________________________________________________
activation_68 (Activation) (None, 14, 14, 128) 0 batch_normalization_68[0][0]
__________________________________________________________________________________________________
conv2d_68 (Conv2D) (None, 14, 14, 32) 36896 activation_68[0][0]
__________________________________________________________________________________________________
concatenate_32 (Concatenate) (None, 14, 14, 736) 0 concatenate_31[0][0]
conv2d_68[0][0]
__________________________________________________________________________________________________
batch_normalization_69 (BatchNo (None, 14, 14, 736) 2944 concatenate_32[0][0]
__________________________________________________________________________________________________
activation_69 (Activation) (None, 14, 14, 736) 0 batch_normalization_69[0][0]
__________________________________________________________________________________________________
conv2d_69 (Conv2D) (None, 14, 14, 128) 94336 activation_69[0][0]
__________________________________________________________________________________________________
batch_normalization_70 (BatchNo (None, 14, 14, 128) 512 conv2d_69[0][0]
__________________________________________________________________________________________________
activation_70 (Activation) (None, 14, 14, 128) 0 batch_normalization_70[0][0]
__________________________________________________________________________________________________
conv2d_70 (Conv2D) (None, 14, 14, 32) 36896 activation_70[0][0]
__________________________________________________________________________________________________
concatenate_33 (Concatenate) (None, 14, 14, 768) 0 concatenate_32[0][0]
conv2d_70[0][0]
__________________________________________________________________________________________________
batch_normalization_71 (BatchNo (None, 14, 14, 768) 3072 concatenate_33[0][0]
__________________________________________________________________________________________________
activation_71 (Activation) (None, 14, 14, 768) 0 batch_normalization_71[0][0]
__________________________________________________________________________________________________
conv2d_71 (Conv2D) (None, 14, 14, 128) 98432 activation_71[0][0]
__________________________________________________________________________________________________
batch_normalization_72 (BatchNo (None, 14, 14, 128) 512 conv2d_71[0][0]
__________________________________________________________________________________________________
activation_72 (Activation) (None, 14, 14, 128) 0 batch_normalization_72[0][0]
__________________________________________________________________________________________________
conv2d_72 (Conv2D) (None, 14, 14, 32) 36896 activation_72[0][0]
__________________________________________________________________________________________________
concatenate_34 (Concatenate) (None, 14, 14, 800) 0 concatenate_33[0][0]
conv2d_72[0][0]
__________________________________________________________________________________________________
batch_normalization_73 (BatchNo (None, 14, 14, 800) 3200 concatenate_34[0][0]
__________________________________________________________________________________________________
activation_73 (Activation) (None, 14, 14, 800) 0 batch_normalization_73[0][0]
__________________________________________________________________________________________________
conv2d_73 (Conv2D) (None, 14, 14, 128) 102528 activation_73[0][0]
__________________________________________________________________________________________________
batch_normalization_74 (BatchNo (None, 14, 14, 128) 512 conv2d_73[0][0]
__________________________________________________________________________________________________
activation_74 (Activation) (None, 14, 14, 128) 0 batch_normalization_74[0][0]
__________________________________________________________________________________________________
conv2d_74 (Conv2D) (None, 14, 14, 32) 36896 activation_74[0][0]
__________________________________________________________________________________________________
concatenate_35 (Concatenate) (None, 14, 14, 832) 0 concatenate_34[0][0]
conv2d_74[0][0]
__________________________________________________________________________________________________
batch_normalization_75 (BatchNo (None, 14, 14, 832) 3328 concatenate_35[0][0]
__________________________________________________________________________________________________
activation_75 (Activation) (None, 14, 14, 832) 0 batch_normalization_75[0][0]
__________________________________________________________________________________________________
conv2d_75 (Conv2D) (None, 14, 14, 128) 106624 activation_75[0][0]
__________________________________________________________________________________________________
batch_normalization_76 (BatchNo (None, 14, 14, 128) 512 conv2d_75[0][0]
__________________________________________________________________________________________________
activation_76 (Activation) (None, 14, 14, 128) 0 batch_normalization_76[0][0]
__________________________________________________________________________________________________
conv2d_76 (Conv2D) (None, 14, 14, 32) 36896 activation_76[0][0]
__________________________________________________________________________________________________
concatenate_36 (Concatenate) (None, 14, 14, 864) 0 concatenate_35[0][0]
conv2d_76[0][0]
__________________________________________________________________________________________________
batch_normalization_77 (BatchNo (None, 14, 14, 864) 3456 concatenate_36[0][0]
__________________________________________________________________________________________________
activation_77 (Activation) (None, 14, 14, 864) 0 batch_normalization_77[0][0]
__________________________________________________________________________________________________
conv2d_77 (Conv2D) (None, 14, 14, 128) 110720 activation_77[0][0]
__________________________________________________________________________________________________
batch_normalization_78 (BatchNo (None, 14, 14, 128) 512 conv2d_77[0][0]
__________________________________________________________________________________________________
activation_78 (Activation) (None, 14, 14, 128) 0 batch_normalization_78[0][0]
__________________________________________________________________________________________________
conv2d_78 (Conv2D) (None, 14, 14, 32) 36896 activation_78[0][0]
__________________________________________________________________________________________________
concatenate_37 (Concatenate) (None, 14, 14, 896) 0 concatenate_36[0][0]
conv2d_78[0][0]
__________________________________________________________________________________________________
batch_normalization_79 (BatchNo (None, 14, 14, 896) 3584 concatenate_37[0][0]
__________________________________________________________________________________________________
activation_79 (Activation) (None, 14, 14, 896) 0 batch_normalization_79[0][0]
__________________________________________________________________________________________________
conv2d_79 (Conv2D) (None, 14, 14, 128) 114816 activation_79[0][0]
__________________________________________________________________________________________________
batch_normalization_80 (BatchNo (None, 14, 14, 128) 512 conv2d_79[0][0]
__________________________________________________________________________________________________
activation_80 (Activation) (None, 14, 14, 128) 0 batch_normalization_80[0][0]
__________________________________________________________________________________________________
conv2d_80 (Conv2D) (None, 14, 14, 32) 36896 activation_80[0][0]
__________________________________________________________________________________________________
concatenate_38 (Concatenate) (None, 14, 14, 928) 0 concatenate_37[0][0]
conv2d_80[0][0]
__________________________________________________________________________________________________
batch_normalization_81 (BatchNo (None, 14, 14, 928) 3712 concatenate_38[0][0]
__________________________________________________________________________________________________
activation_81 (Activation) (None, 14, 14, 928) 0 batch_normalization_81[0][0]
__________________________________________________________________________________________________
conv2d_81 (Conv2D) (None, 14, 14, 128) 118912 activation_81[0][0]
__________________________________________________________________________________________________
batch_normalization_82 (BatchNo (None, 14, 14, 128) 512 conv2d_81[0][0]
__________________________________________________________________________________________________
activation_82 (Activation) (None, 14, 14, 128) 0 batch_normalization_82[0][0]
__________________________________________________________________________________________________
conv2d_82 (Conv2D) (None, 14, 14, 32) 36896 activation_82[0][0]
__________________________________________________________________________________________________
concatenate_39 (Concatenate) (None, 14, 14, 960) 0 concatenate_38[0][0]
conv2d_82[0][0]
__________________________________________________________________________________________________
batch_normalization_83 (BatchNo (None, 14, 14, 960) 3840 concatenate_39[0][0]
__________________________________________________________________________________________________
activation_83 (Activation) (None, 14, 14, 960) 0 batch_normalization_83[0][0]
__________________________________________________________________________________________________
conv2d_83 (Conv2D) (None, 14, 14, 128) 123008 activation_83[0][0]
__________________________________________________________________________________________________
batch_normalization_84 (BatchNo (None, 14, 14, 128) 512 conv2d_83[0][0]
__________________________________________________________________________________________________
activation_84 (Activation) (None, 14, 14, 128) 0 batch_normalization_84[0][0]
__________________________________________________________________________________________________
conv2d_84 (Conv2D) (None, 14, 14, 32) 36896 activation_84[0][0]
__________________________________________________________________________________________________
concatenate_40 (Concatenate) (None, 14, 14, 992) 0 concatenate_39[0][0]
conv2d_84[0][0]
__________________________________________________________________________________________________
batch_normalization_85 (BatchNo (None, 14, 14, 992) 3968 concatenate_40[0][0]
__________________________________________________________________________________________________
activation_85 (Activation) (None, 14, 14, 992) 0 batch_normalization_85[0][0]
__________________________________________________________________________________________________
conv2d_85 (Conv2D) (None, 14, 14, 128) 127104 activation_85[0][0]
__________________________________________________________________________________________________
batch_normalization_86 (BatchNo (None, 14, 14, 128) 512 conv2d_85[0][0]
__________________________________________________________________________________________________
activation_86 (Activation) (None, 14, 14, 128) 0 batch_normalization_86[0][0]
__________________________________________________________________________________________________
conv2d_86 (Conv2D) (None, 14, 14, 32) 36896 activation_86[0][0]
__________________________________________________________________________________________________
concatenate_41 (Concatenate) (None, 14, 14, 1024) 0 concatenate_40[0][0]
conv2d_86[0][0]
__________________________________________________________________________________________________
batch_normalization_87 (BatchNo (None, 14, 14, 1024) 4096 concatenate_41[0][0]
__________________________________________________________________________________________________
activation_87 (Activation) (None, 14, 14, 1024) 0 batch_normalization_87[0][0]
__________________________________________________________________________________________________
conv2d_87 (Conv2D) (None, 14, 14, 512) 524800 activation_87[0][0]
__________________________________________________________________________________________________
average_pooling2d_2 (AveragePoo (None, 7, 7, 512) 0 conv2d_87[0][0]
__________________________________________________________________________________________________
batch_normalization_88 (BatchNo (None, 7, 7, 512) 2048 average_pooling2d_2[0][0]
__________________________________________________________________________________________________
activation_88 (Activation) (None, 7, 7, 512) 0 batch_normalization_88[0][0]
__________________________________________________________________________________________________
conv2d_88 (Conv2D) (None, 7, 7, 128) 65664 activation_88[0][0]
__________________________________________________________________________________________________
batch_normalization_89 (BatchNo (None, 7, 7, 128) 512 conv2d_88[0][0]
__________________________________________________________________________________________________
activation_89 (Activation) (None, 7, 7, 128) 0 batch_normalization_89[0][0]
__________________________________________________________________________________________________
conv2d_89 (Conv2D) (None, 7, 7, 32) 36896 activation_89[0][0]
__________________________________________________________________________________________________
concatenate_42 (Concatenate) (None, 7, 7, 544) 0 average_pooling2d_2[0][0]
conv2d_89[0][0]
__________________________________________________________________________________________________
batch_normalization_90 (BatchNo (None, 7, 7, 544) 2176 concatenate_42[0][0]
__________________________________________________________________________________________________
activation_90 (Activation) (None, 7, 7, 544) 0 batch_normalization_90[0][0]
__________________________________________________________________________________________________
conv2d_90 (Conv2D) (None, 7, 7, 128) 69760 activation_90[0][0]
__________________________________________________________________________________________________
batch_normalization_91 (BatchNo (None, 7, 7, 128) 512 conv2d_90[0][0]
__________________________________________________________________________________________________
activation_91 (Activation) (None, 7, 7, 128) 0 batch_normalization_91[0][0]
__________________________________________________________________________________________________
conv2d_91 (Conv2D) (None, 7, 7, 32) 36896 activation_91[0][0]
__________________________________________________________________________________________________
concatenate_43 (Concatenate) (None, 7, 7, 576) 0 concatenate_42[0][0]
conv2d_91[0][0]
__________________________________________________________________________________________________
batch_normalization_92 (BatchNo (None, 7, 7, 576) 2304 concatenate_43[0][0]
__________________________________________________________________________________________________
activation_92 (Activation) (None, 7, 7, 576) 0 batch_normalization_92[0][0]
__________________________________________________________________________________________________
conv2d_92 (Conv2D) (None, 7, 7, 128) 73856 activation_92[0][0]
__________________________________________________________________________________________________
batch_normalization_93 (BatchNo (None, 7, 7, 128) 512 conv2d_92[0][0]
__________________________________________________________________________________________________
activation_93 (Activation) (None, 7, 7, 128) 0 batch_normalization_93[0][0]
__________________________________________________________________________________________________
conv2d_93 (Conv2D) (None, 7, 7, 32) 36896 activation_93[0][0]
__________________________________________________________________________________________________
concatenate_44 (Concatenate) (None, 7, 7, 608) 0 concatenate_43[0][0]
conv2d_93[0][0]
__________________________________________________________________________________________________
batch_normalization_94 (BatchNo (None, 7, 7, 608) 2432 concatenate_44[0][0]
__________________________________________________________________________________________________
activation_94 (Activation) (None, 7, 7, 608) 0 batch_normalization_94[0][0]
__________________________________________________________________________________________________
conv2d_94 (Conv2D) (None, 7, 7, 128) 77952 activation_94[0][0]
__________________________________________________________________________________________________
batch_normalization_95 (BatchNo (None, 7, 7, 128) 512 conv2d_94[0][0]
__________________________________________________________________________________________________
activation_95 (Activation) (None, 7, 7, 128) 0 batch_normalization_95[0][0]
__________________________________________________________________________________________________
conv2d_95 (Conv2D) (None, 7, 7, 32) 36896 activation_95[0][0]
__________________________________________________________________________________________________
concatenate_45 (Concatenate) (None, 7, 7, 640) 0 concatenate_44[0][0]
conv2d_95[0][0]
__________________________________________________________________________________________________
batch_normalization_96 (BatchNo (None, 7, 7, 640) 2560 concatenate_45[0][0]
__________________________________________________________________________________________________
activation_96 (Activation) (None, 7, 7, 640) 0 batch_normalization_96[0][0]
__________________________________________________________________________________________________
conv2d_96 (Conv2D) (None, 7, 7, 128) 82048 activation_96[0][0]
__________________________________________________________________________________________________
batch_normalization_97 (BatchNo (None, 7, 7, 128) 512 conv2d_96[0][0]
__________________________________________________________________________________________________
activation_97 (Activation) (None, 7, 7, 128) 0 batch_normalization_97[0][0]
__________________________________________________________________________________________________
conv2d_97 (Conv2D) (None, 7, 7, 32) 36896 activation_97[0][0]
__________________________________________________________________________________________________
concatenate_46 (Concatenate) (None, 7, 7, 672) 0 concatenate_45[0][0]
conv2d_97[0][0]
__________________________________________________________________________________________________
batch_normalization_98 (BatchNo (None, 7, 7, 672) 2688 concatenate_46[0][0]
__________________________________________________________________________________________________
activation_98 (Activation) (None, 7, 7, 672) 0 batch_normalization_98[0][0]
__________________________________________________________________________________________________
conv2d_98 (Conv2D) (None, 7, 7, 128) 86144 activation_98[0][0]
__________________________________________________________________________________________________
batch_normalization_99 (BatchNo (None, 7, 7, 128) 512 conv2d_98[0][0]
__________________________________________________________________________________________________
activation_99 (Activation) (None, 7, 7, 128) 0 batch_normalization_99[0][0]
__________________________________________________________________________________________________
conv2d_99 (Conv2D) (None, 7, 7, 32) 36896 activation_99[0][0]
__________________________________________________________________________________________________
concatenate_47 (Concatenate) (None, 7, 7, 704) 0 concatenate_46[0][0]
conv2d_99[0][0]
__________________________________________________________________________________________________
batch_normalization_100 (BatchN (None, 7, 7, 704) 2816 concatenate_47[0][0]
__________________________________________________________________________________________________
activation_100 (Activation) (None, 7, 7, 704) 0 batch_normalization_100[0][0]
__________________________________________________________________________________________________
conv2d_100 (Conv2D) (None, 7, 7, 128) 90240 activation_100[0][0]
__________________________________________________________________________________________________
batch_normalization_101 (BatchN (None, 7, 7, 128) 512 conv2d_100[0][0]
__________________________________________________________________________________________________
activation_101 (Activation) (None, 7, 7, 128) 0 batch_normalization_101[0][0]
__________________________________________________________________________________________________
conv2d_101 (Conv2D) (None, 7, 7, 32) 36896 activation_101[0][0]
__________________________________________________________________________________________________
concatenate_48 (Concatenate) (None, 7, 7, 736) 0 concatenate_47[0][0]
conv2d_101[0][0]
__________________________________________________________________________________________________
batch_normalization_102 (BatchN (None, 7, 7, 736) 2944 concatenate_48[0][0]
__________________________________________________________________________________________________
activation_102 (Activation) (None, 7, 7, 736) 0 batch_normalization_102[0][0]
__________________________________________________________________________________________________
conv2d_102 (Conv2D) (None, 7, 7, 128) 94336 activation_102[0][0]
__________________________________________________________________________________________________
batch_normalization_103 (BatchN (None, 7, 7, 128) 512 conv2d_102[0][0]
__________________________________________________________________________________________________
activation_103 (Activation) (None, 7, 7, 128) 0 batch_normalization_103[0][0]
__________________________________________________________________________________________________
conv2d_103 (Conv2D) (None, 7, 7, 32) 36896 activation_103[0][0]
__________________________________________________________________________________________________
concatenate_49 (Concatenate) (None, 7, 7, 768) 0 concatenate_48[0][0]
conv2d_103[0][0]
__________________________________________________________________________________________________
batch_normalization_104 (BatchN (None, 7, 7, 768) 3072 concatenate_49[0][0]
__________________________________________________________________________________________________
activation_104 (Activation) (None, 7, 7, 768) 0 batch_normalization_104[0][0]
__________________________________________________________________________________________________
conv2d_104 (Conv2D) (None, 7, 7, 128) 98432 activation_104[0][0]
__________________________________________________________________________________________________
batch_normalization_105 (BatchN (None, 7, 7, 128) 512 conv2d_104[0][0]
__________________________________________________________________________________________________
activation_105 (Activation) (None, 7, 7, 128) 0 batch_normalization_105[0][0]
__________________________________________________________________________________________________
conv2d_105 (Conv2D) (None, 7, 7, 32) 36896 activation_105[0][0]
__________________________________________________________________________________________________
concatenate_50 (Concatenate) (None, 7, 7, 800) 0 concatenate_49[0][0]
conv2d_105[0][0]
__________________________________________________________________________________________________
batch_normalization_106 (BatchN (None, 7, 7, 800) 3200 concatenate_50[0][0]
__________________________________________________________________________________________________
activation_106 (Activation) (None, 7, 7, 800) 0 batch_normalization_106[0][0]
__________________________________________________________________________________________________
conv2d_106 (Conv2D) (None, 7, 7, 128) 102528 activation_106[0][0]
__________________________________________________________________________________________________
batch_normalization_107 (BatchN (None, 7, 7, 128) 512 conv2d_106[0][0]
__________________________________________________________________________________________________
activation_107 (Activation) (None, 7, 7, 128) 0 batch_normalization_107[0][0]
__________________________________________________________________________________________________
conv2d_107 (Conv2D) (None, 7, 7, 32) 36896 activation_107[0][0]
__________________________________________________________________________________________________
concatenate_51 (Concatenate) (None, 7, 7, 832) 0 concatenate_50[0][0]
conv2d_107[0][0]
__________________________________________________________________________________________________
batch_normalization_108 (BatchN (None, 7, 7, 832) 3328 concatenate_51[0][0]
__________________________________________________________________________________________________
activation_108 (Activation) (None, 7, 7, 832) 0 batch_normalization_108[0][0]
__________________________________________________________________________________________________
conv2d_108 (Conv2D) (None, 7, 7, 128) 106624 activation_108[0][0]
__________________________________________________________________________________________________
batch_normalization_109 (BatchN (None, 7, 7, 128) 512 conv2d_108[0][0]
__________________________________________________________________________________________________
activation_109 (Activation) (None, 7, 7, 128) 0 batch_normalization_109[0][0]
__________________________________________________________________________________________________
conv2d_109 (Conv2D) (None, 7, 7, 32) 36896 activation_109[0][0]
__________________________________________________________________________________________________
concatenate_52 (Concatenate) (None, 7, 7, 864) 0 concatenate_51[0][0]
conv2d_109[0][0]
__________________________________________________________________________________________________
batch_normalization_110 (BatchN (None, 7, 7, 864) 3456 concatenate_52[0][0]
__________________________________________________________________________________________________
activation_110 (Activation) (None, 7, 7, 864) 0 batch_normalization_110[0][0]
__________________________________________________________________________________________________
conv2d_110 (Conv2D) (None, 7, 7, 128) 110720 activation_110[0][0]
__________________________________________________________________________________________________
batch_normalization_111 (BatchN (None, 7, 7, 128) 512 conv2d_110[0][0]
__________________________________________________________________________________________________
activation_111 (Activation) (None, 7, 7, 128) 0 batch_normalization_111[0][0]
__________________________________________________________________________________________________
conv2d_111 (Conv2D) (None, 7, 7, 32) 36896 activation_111[0][0]
__________________________________________________________________________________________________
concatenate_53 (Concatenate) (None, 7, 7, 896) 0 concatenate_52[0][0]
conv2d_111[0][0]
__________________________________________________________________________________________________
batch_normalization_112 (BatchN (None, 7, 7, 896) 3584 concatenate_53[0][0]
__________________________________________________________________________________________________
activation_112 (Activation) (None, 7, 7, 896) 0 batch_normalization_112[0][0]
__________________________________________________________________________________________________
conv2d_112 (Conv2D) (None, 7, 7, 128) 114816 activation_112[0][0]
__________________________________________________________________________________________________
batch_normalization_113 (BatchN (None, 7, 7, 128) 512 conv2d_112[0][0]
__________________________________________________________________________________________________
activation_113 (Activation) (None, 7, 7, 128) 0 batch_normalization_113[0][0]
__________________________________________________________________________________________________
conv2d_113 (Conv2D) (None, 7, 7, 32) 36896 activation_113[0][0]
__________________________________________________________________________________________________
concatenate_54 (Concatenate) (None, 7, 7, 928) 0 concatenate_53[0][0]
conv2d_113[0][0]
__________________________________________________________________________________________________
batch_normalization_114 (BatchN (None, 7, 7, 928) 3712 concatenate_54[0][0]
__________________________________________________________________________________________________
activation_114 (Activation) (None, 7, 7, 928) 0 batch_normalization_114[0][0]
__________________________________________________________________________________________________
conv2d_114 (Conv2D) (None, 7, 7, 128) 118912 activation_114[0][0]
__________________________________________________________________________________________________
batch_normalization_115 (BatchN (None, 7, 7, 128) 512 conv2d_114[0][0]
__________________________________________________________________________________________________
activation_115 (Activation) (None, 7, 7, 128) 0 batch_normalization_115[0][0]
__________________________________________________________________________________________________
conv2d_115 (Conv2D) (None, 7, 7, 32) 36896 activation_115[0][0]
__________________________________________________________________________________________________
concatenate_55 (Concatenate) (None, 7, 7, 960) 0 concatenate_54[0][0]
conv2d_115[0][0]
__________________________________________________________________________________________________
batch_normalization_116 (BatchN (None, 7, 7, 960) 3840 concatenate_55[0][0]
__________________________________________________________________________________________________
activation_116 (Activation) (None, 7, 7, 960) 0 batch_normalization_116[0][0]
__________________________________________________________________________________________________
conv2d_116 (Conv2D) (None, 7, 7, 128) 123008 activation_116[0][0]
__________________________________________________________________________________________________
batch_normalization_117 (BatchN (None, 7, 7, 128) 512 conv2d_116[0][0]
__________________________________________________________________________________________________
activation_117 (Activation) (None, 7, 7, 128) 0 batch_normalization_117[0][0]
__________________________________________________________________________________________________
conv2d_117 (Conv2D) (None, 7, 7, 32) 36896 activation_117[0][0]
__________________________________________________________________________________________________
concatenate_56 (Concatenate) (None, 7, 7, 992) 0 concatenate_55[0][0]
conv2d_117[0][0]
__________________________________________________________________________________________________
batch_normalization_118 (BatchN (None, 7, 7, 992) 3968 concatenate_56[0][0]
__________________________________________________________________________________________________
activation_118 (Activation) (None, 7, 7, 992) 0 batch_normalization_118[0][0]
__________________________________________________________________________________________________
conv2d_118 (Conv2D) (None, 7, 7, 128) 127104 activation_118[0][0]
__________________________________________________________________________________________________
batch_normalization_119 (BatchN (None, 7, 7, 128) 512 conv2d_118[0][0]
__________________________________________________________________________________________________
activation_119 (Activation) (None, 7, 7, 128) 0 batch_normalization_119[0][0]
__________________________________________________________________________________________________
conv2d_119 (Conv2D) (None, 7, 7, 32) 36896 activation_119[0][0]
__________________________________________________________________________________________________
concatenate_57 (Concatenate) (None, 7, 7, 1024) 0 concatenate_56[0][0]
conv2d_119[0][0]
__________________________________________________________________________________________________
global_average_pooling2d (Globa (None, 1024) 0 concatenate_57[0][0]
__________________________________________________________________________________________________
dense (Dense) (None, 1000) 1025000 global_average_pooling2d[0][0]
==================================================================================================
Total params: 8,068,648
Trainable params: 7,987,048
Non-trainable params: 81,600
__________________________________________________________________________________________________
'''
'ML > CNN' 카테고리의 다른 글
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[CNN] ResNet 요약 (0) | 2021.08.03 |
[CNN] GoogLeNet 요약 (0) | 2021.08.02 |
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