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model_summary().txt
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model_summary().txt
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__________________________________________________________________________________________________
Layer (type) Output Shape Param # Connected to
==================================================================================================
input_1 (InputLayer) (None, 224, 224, 3) 0
__________________________________________________________________________________________________
zero_padding2d_1 (ZeroPadding2D (None, 230, 230, 3) 0 input_1[0][0]
__________________________________________________________________________________________________
bn_layer_1 (BatchNormalization) (None, 230, 230, 3) 12 zero_padding2d_1[0][0]
__________________________________________________________________________________________________
activation_1 (Activation) (None, 230, 230, 3) 0 bn_layer_1[0][0]
__________________________________________________________________________________________________
conv_layer_1 (Conv2D) (None, 112, 112, 64) 9472 activation_1[0][0]
__________________________________________________________________________________________________
zero_padding2d_2 (ZeroPadding2D (None, 114, 114, 64) 0 conv_layer_1[0][0]
__________________________________________________________________________________________________
max_pooling2d_1 (MaxPooling2D) (None, 56, 56, 64) 0 zero_padding2d_2[0][0]
__________________________________________________________________________________________________
bn_layer_2 (BatchNormalization) (None, 56, 56, 64) 256 max_pooling2d_1[0][0]
__________________________________________________________________________________________________
activation_2 (Activation) (None, 56, 56, 64) 0 bn_layer_2[0][0]
__________________________________________________________________________________________________
conv_layer_2 (Conv2D) (None, 56, 56, 128) 8320 activation_2[0][0]
__________________________________________________________________________________________________
bn_layer_3 (BatchNormalization) (None, 56, 56, 128) 512 conv_layer_2[0][0]
__________________________________________________________________________________________________
activation_3 (Activation) (None, 56, 56, 128) 0 bn_layer_3[0][0]
__________________________________________________________________________________________________
conv_layer_3 (Conv2D) (None, 56, 56, 32) 36896 activation_3[0][0]
__________________________________________________________________________________________________
bn_layer_4 (BatchNormalization) (None, 56, 56, 32) 128 conv_layer_3[0][0]
__________________________________________________________________________________________________
activation_4 (Activation) (None, 56, 56, 32) 0 bn_layer_4[0][0]
__________________________________________________________________________________________________
conv_layer_4 (Conv2D) (None, 56, 56, 128) 4224 activation_4[0][0]
__________________________________________________________________________________________________
bn_layer_5 (BatchNormalization) (None, 56, 56, 128) 512 conv_layer_4[0][0]
__________________________________________________________________________________________________
activation_5 (Activation) (None, 56, 56, 128) 0 bn_layer_5[0][0]
__________________________________________________________________________________________________
conv_layer_5 (Conv2D) (None, 56, 56, 32) 36896 activation_5[0][0]
__________________________________________________________________________________________________
concatenate_1 (Concatenate) (None, 56, 56, 64) 0 conv_layer_3[0][0]
conv_layer_5[0][0]
__________________________________________________________________________________________________
bn_layer_6 (BatchNormalization) (None, 56, 56, 64) 256 concatenate_1[0][0]
__________________________________________________________________________________________________
activation_6 (Activation) (None, 56, 56, 64) 0 bn_layer_6[0][0]
__________________________________________________________________________________________________
conv_layer_6 (Conv2D) (None, 56, 56, 128) 8320 activation_6[0][0]
__________________________________________________________________________________________________
bn_layer_7 (BatchNormalization) (None, 56, 56, 128) 512 conv_layer_6[0][0]
__________________________________________________________________________________________________
activation_7 (Activation) (None, 56, 56, 128) 0 bn_layer_7[0][0]
__________________________________________________________________________________________________
conv_layer_7 (Conv2D) (None, 56, 56, 32) 36896 activation_7[0][0]
__________________________________________________________________________________________________
concatenate_2 (Concatenate) (None, 56, 56, 96) 0 conv_layer_3[0][0]
conv_layer_5[0][0]
conv_layer_7[0][0]
__________________________________________________________________________________________________
bn_layer_8 (BatchNormalization) (None, 56, 56, 96) 384 concatenate_2[0][0]
__________________________________________________________________________________________________
activation_8 (Activation) (None, 56, 56, 96) 0 bn_layer_8[0][0]
__________________________________________________________________________________________________
conv_layer_8 (Conv2D) (None, 56, 56, 128) 12416 activation_8[0][0]
__________________________________________________________________________________________________
bn_layer_9 (BatchNormalization) (None, 56, 56, 128) 512 conv_layer_8[0][0]
__________________________________________________________________________________________________
activation_9 (Activation) (None, 56, 56, 128) 0 bn_layer_9[0][0]
__________________________________________________________________________________________________
conv_layer_9 (Conv2D) (None, 56, 56, 32) 36896 activation_9[0][0]
__________________________________________________________________________________________________
concatenate_3 (Concatenate) (None, 56, 56, 128) 0 conv_layer_3[0][0]
conv_layer_5[0][0]
conv_layer_7[0][0]
conv_layer_9[0][0]
__________________________________________________________________________________________________
bn_layer_10 (BatchNormalization (None, 56, 56, 128) 512 concatenate_3[0][0]
__________________________________________________________________________________________________
activation_10 (Activation) (None, 56, 56, 128) 0 bn_layer_10[0][0]
__________________________________________________________________________________________________
conv_layer_10 (Conv2D) (None, 56, 56, 128) 16512 activation_10[0][0]
__________________________________________________________________________________________________
bn_layer_11 (BatchNormalization (None, 56, 56, 128) 512 conv_layer_10[0][0]
__________________________________________________________________________________________________
activation_11 (Activation) (None, 56, 56, 128) 0 bn_layer_11[0][0]
__________________________________________________________________________________________________
conv_layer_11 (Conv2D) (None, 56, 56, 32) 36896 activation_11[0][0]
__________________________________________________________________________________________________
concatenate_4 (Concatenate) (None, 56, 56, 160) 0 conv_layer_3[0][0]
conv_layer_5[0][0]
conv_layer_7[0][0]
conv_layer_9[0][0]
conv_layer_11[0][0]
__________________________________________________________________________________________________
bn_layer_12 (BatchNormalization (None, 56, 56, 160) 640 concatenate_4[0][0]
__________________________________________________________________________________________________
activation_12 (Activation) (None, 56, 56, 160) 0 bn_layer_12[0][0]
__________________________________________________________________________________________________
conv_layer_12 (Conv2D) (None, 56, 56, 128) 20608 activation_12[0][0]
__________________________________________________________________________________________________
bn_layer_13 (BatchNormalization (None, 56, 56, 128) 512 conv_layer_12[0][0]
__________________________________________________________________________________________________
activation_13 (Activation) (None, 56, 56, 128) 0 bn_layer_13[0][0]
__________________________________________________________________________________________________
conv_layer_13 (Conv2D) (None, 56, 56, 32) 36896 activation_13[0][0]
__________________________________________________________________________________________________
bn_layer_14 (BatchNormalization (None, 56, 56, 32) 128 conv_layer_13[0][0]
__________________________________________________________________________________________________
activation_14 (Activation) (None, 56, 56, 32) 0 bn_layer_14[0][0]
__________________________________________________________________________________________________
conv_layer_14 (Conv2D) (None, 56, 56, 32) 1056 activation_14[0][0]
__________________________________________________________________________________________________
average_pooling2d_1 (AveragePoo (None, 28, 28, 32) 0 conv_layer_14[0][0]
__________________________________________________________________________________________________
bn_layer_15 (BatchNormalization (None, 28, 28, 32) 128 average_pooling2d_1[0][0]
__________________________________________________________________________________________________
activation_15 (Activation) (None, 28, 28, 32) 0 bn_layer_15[0][0]
__________________________________________________________________________________________________
conv_layer_15 (Conv2D) (None, 28, 28, 128) 4224 activation_15[0][0]
__________________________________________________________________________________________________
bn_layer_16 (BatchNormalization (None, 28, 28, 128) 512 conv_layer_15[0][0]
__________________________________________________________________________________________________
activation_16 (Activation) (None, 28, 28, 128) 0 bn_layer_16[0][0]
__________________________________________________________________________________________________
conv_layer_16 (Conv2D) (None, 28, 28, 32) 36896 activation_16[0][0]
__________________________________________________________________________________________________
bn_layer_17 (BatchNormalization (None, 28, 28, 32) 128 conv_layer_16[0][0]
__________________________________________________________________________________________________
activation_17 (Activation) (None, 28, 28, 32) 0 bn_layer_17[0][0]
__________________________________________________________________________________________________
conv_layer_17 (Conv2D) (None, 28, 28, 128) 4224 activation_17[0][0]
__________________________________________________________________________________________________
bn_layer_18 (BatchNormalization (None, 28, 28, 128) 512 conv_layer_17[0][0]
__________________________________________________________________________________________________
activation_18 (Activation) (None, 28, 28, 128) 0 bn_layer_18[0][0]
__________________________________________________________________________________________________
conv_layer_18 (Conv2D) (None, 28, 28, 32) 36896 activation_18[0][0]
__________________________________________________________________________________________________
concatenate_5 (Concatenate) (None, 28, 28, 64) 0 conv_layer_16[0][0]
conv_layer_18[0][0]
__________________________________________________________________________________________________
bn_layer_19 (BatchNormalization (None, 28, 28, 64) 256 concatenate_5[0][0]
__________________________________________________________________________________________________
activation_19 (Activation) (None, 28, 28, 64) 0 bn_layer_19[0][0]
__________________________________________________________________________________________________
conv_layer_19 (Conv2D) (None, 28, 28, 128) 8320 activation_19[0][0]
__________________________________________________________________________________________________
bn_layer_20 (BatchNormalization (None, 28, 28, 128) 512 conv_layer_19[0][0]
__________________________________________________________________________________________________
activation_20 (Activation) (None, 28, 28, 128) 0 bn_layer_20[0][0]
__________________________________________________________________________________________________
conv_layer_20 (Conv2D) (None, 28, 28, 32) 36896 activation_20[0][0]
__________________________________________________________________________________________________
concatenate_6 (Concatenate) (None, 28, 28, 96) 0 conv_layer_16[0][0]
conv_layer_18[0][0]
conv_layer_20[0][0]
__________________________________________________________________________________________________
bn_layer_21 (BatchNormalization (None, 28, 28, 96) 384 concatenate_6[0][0]
__________________________________________________________________________________________________
activation_21 (Activation) (None, 28, 28, 96) 0 bn_layer_21[0][0]
__________________________________________________________________________________________________
conv_layer_21 (Conv2D) (None, 28, 28, 128) 12416 activation_21[0][0]
__________________________________________________________________________________________________
bn_layer_22 (BatchNormalization (None, 28, 28, 128) 512 conv_layer_21[0][0]
__________________________________________________________________________________________________
activation_22 (Activation) (None, 28, 28, 128) 0 bn_layer_22[0][0]
__________________________________________________________________________________________________
conv_layer_22 (Conv2D) (None, 28, 28, 32) 36896 activation_22[0][0]
__________________________________________________________________________________________________
concatenate_7 (Concatenate) (None, 28, 28, 128) 0 conv_layer_16[0][0]
conv_layer_18[0][0]
conv_layer_20[0][0]
conv_layer_22[0][0]
__________________________________________________________________________________________________
bn_layer_23 (BatchNormalization (None, 28, 28, 128) 512 concatenate_7[0][0]
__________________________________________________________________________________________________
activation_23 (Activation) (None, 28, 28, 128) 0 bn_layer_23[0][0]
__________________________________________________________________________________________________
conv_layer_23 (Conv2D) (None, 28, 28, 128) 16512 activation_23[0][0]
__________________________________________________________________________________________________
bn_layer_24 (BatchNormalization (None, 28, 28, 128) 512 conv_layer_23[0][0]
__________________________________________________________________________________________________
activation_24 (Activation) (None, 28, 28, 128) 0 bn_layer_24[0][0]
__________________________________________________________________________________________________
conv_layer_24 (Conv2D) (None, 28, 28, 32) 36896 activation_24[0][0]
__________________________________________________________________________________________________
concatenate_8 (Concatenate) (None, 28, 28, 160) 0 conv_layer_16[0][0]
conv_layer_18[0][0]
conv_layer_20[0][0]
conv_layer_22[0][0]
conv_layer_24[0][0]
__________________________________________________________________________________________________
bn_layer_25 (BatchNormalization (None, 28, 28, 160) 640 concatenate_8[0][0]
__________________________________________________________________________________________________
activation_25 (Activation) (None, 28, 28, 160) 0 bn_layer_25[0][0]
__________________________________________________________________________________________________
conv_layer_25 (Conv2D) (None, 28, 28, 128) 20608 activation_25[0][0]
__________________________________________________________________________________________________
bn_layer_26 (BatchNormalization (None, 28, 28, 128) 512 conv_layer_25[0][0]
__________________________________________________________________________________________________
activation_26 (Activation) (None, 28, 28, 128) 0 bn_layer_26[0][0]
__________________________________________________________________________________________________
conv_layer_26 (Conv2D) (None, 28, 28, 32) 36896 activation_26[0][0]
__________________________________________________________________________________________________
concatenate_9 (Concatenate) (None, 28, 28, 192) 0 conv_layer_16[0][0]
conv_layer_18[0][0]
conv_layer_20[0][0]
conv_layer_22[0][0]
conv_layer_24[0][0]
conv_layer_26[0][0]
__________________________________________________________________________________________________
bn_layer_27 (BatchNormalization (None, 28, 28, 192) 768 concatenate_9[0][0]
__________________________________________________________________________________________________
activation_27 (Activation) (None, 28, 28, 192) 0 bn_layer_27[0][0]
__________________________________________________________________________________________________
conv_layer_27 (Conv2D) (None, 28, 28, 128) 24704 activation_27[0][0]
__________________________________________________________________________________________________
bn_layer_28 (BatchNormalization (None, 28, 28, 128) 512 conv_layer_27[0][0]
__________________________________________________________________________________________________
activation_28 (Activation) (None, 28, 28, 128) 0 bn_layer_28[0][0]
__________________________________________________________________________________________________
conv_layer_28 (Conv2D) (None, 28, 28, 32) 36896 activation_28[0][0]
__________________________________________________________________________________________________
concatenate_10 (Concatenate) (None, 28, 28, 224) 0 conv_layer_16[0][0]
conv_layer_18[0][0]
conv_layer_20[0][0]
conv_layer_22[0][0]
conv_layer_24[0][0]
conv_layer_26[0][0]
conv_layer_28[0][0]
__________________________________________________________________________________________________
bn_layer_29 (BatchNormalization (None, 28, 28, 224) 896 concatenate_10[0][0]
__________________________________________________________________________________________________
activation_29 (Activation) (None, 28, 28, 224) 0 bn_layer_29[0][0]
__________________________________________________________________________________________________
conv_layer_29 (Conv2D) (None, 28, 28, 128) 28800 activation_29[0][0]
__________________________________________________________________________________________________
bn_layer_30 (BatchNormalization (None, 28, 28, 128) 512 conv_layer_29[0][0]
__________________________________________________________________________________________________
activation_30 (Activation) (None, 28, 28, 128) 0 bn_layer_30[0][0]
__________________________________________________________________________________________________
conv_layer_30 (Conv2D) (None, 28, 28, 32) 36896 activation_30[0][0]
__________________________________________________________________________________________________
concatenate_11 (Concatenate) (None, 28, 28, 256) 0 conv_layer_16[0][0]
conv_layer_18[0][0]
conv_layer_20[0][0]
conv_layer_22[0][0]
conv_layer_24[0][0]
conv_layer_26[0][0]
conv_layer_28[0][0]
conv_layer_30[0][0]
__________________________________________________________________________________________________
bn_layer_31 (BatchNormalization (None, 28, 28, 256) 1024 concatenate_11[0][0]
__________________________________________________________________________________________________
activation_31 (Activation) (None, 28, 28, 256) 0 bn_layer_31[0][0]
__________________________________________________________________________________________________
conv_layer_31 (Conv2D) (None, 28, 28, 128) 32896 activation_31[0][0]
__________________________________________________________________________________________________
bn_layer_32 (BatchNormalization (None, 28, 28, 128) 512 conv_layer_31[0][0]
__________________________________________________________________________________________________
activation_32 (Activation) (None, 28, 28, 128) 0 bn_layer_32[0][0]
__________________________________________________________________________________________________
conv_layer_32 (Conv2D) (None, 28, 28, 32) 36896 activation_32[0][0]
__________________________________________________________________________________________________
concatenate_12 (Concatenate) (None, 28, 28, 288) 0 conv_layer_16[0][0]
conv_layer_18[0][0]
conv_layer_20[0][0]
conv_layer_22[0][0]
conv_layer_24[0][0]
conv_layer_26[0][0]
conv_layer_28[0][0]
conv_layer_30[0][0]
conv_layer_32[0][0]
__________________________________________________________________________________________________
bn_layer_33 (BatchNormalization (None, 28, 28, 288) 1152 concatenate_12[0][0]
__________________________________________________________________________________________________
activation_33 (Activation) (None, 28, 28, 288) 0 bn_layer_33[0][0]
__________________________________________________________________________________________________
conv_layer_33 (Conv2D) (None, 28, 28, 128) 36992 activation_33[0][0]
__________________________________________________________________________________________________
bn_layer_34 (BatchNormalization (None, 28, 28, 128) 512 conv_layer_33[0][0]
__________________________________________________________________________________________________
activation_34 (Activation) (None, 28, 28, 128) 0 bn_layer_34[0][0]
__________________________________________________________________________________________________
conv_layer_34 (Conv2D) (None, 28, 28, 32) 36896 activation_34[0][0]
__________________________________________________________________________________________________
concatenate_13 (Concatenate) (None, 28, 28, 320) 0 conv_layer_16[0][0]
conv_layer_18[0][0]
conv_layer_20[0][0]
conv_layer_22[0][0]
conv_layer_24[0][0]
conv_layer_26[0][0]
conv_layer_28[0][0]
conv_layer_30[0][0]
conv_layer_32[0][0]
conv_layer_34[0][0]
__________________________________________________________________________________________________
bn_layer_35 (BatchNormalization (None, 28, 28, 320) 1280 concatenate_13[0][0]
__________________________________________________________________________________________________
activation_35 (Activation) (None, 28, 28, 320) 0 bn_layer_35[0][0]
__________________________________________________________________________________________________
conv_layer_35 (Conv2D) (None, 28, 28, 128) 41088 activation_35[0][0]
__________________________________________________________________________________________________
bn_layer_36 (BatchNormalization (None, 28, 28, 128) 512 conv_layer_35[0][0]
__________________________________________________________________________________________________
activation_36 (Activation) (None, 28, 28, 128) 0 bn_layer_36[0][0]
__________________________________________________________________________________________________
conv_layer_36 (Conv2D) (None, 28, 28, 32) 36896 activation_36[0][0]
__________________________________________________________________________________________________
concatenate_14 (Concatenate) (None, 28, 28, 352) 0 conv_layer_16[0][0]
conv_layer_18[0][0]
conv_layer_20[0][0]
conv_layer_22[0][0]
conv_layer_24[0][0]
conv_layer_26[0][0]
conv_layer_28[0][0]
conv_layer_30[0][0]
conv_layer_32[0][0]
conv_layer_34[0][0]
conv_layer_36[0][0]
__________________________________________________________________________________________________
bn_layer_37 (BatchNormalization (None, 28, 28, 352) 1408 concatenate_14[0][0]
__________________________________________________________________________________________________
activation_37 (Activation) (None, 28, 28, 352) 0 bn_layer_37[0][0]
__________________________________________________________________________________________________
conv_layer_37 (Conv2D) (None, 28, 28, 128) 45184 activation_37[0][0]
__________________________________________________________________________________________________
bn_layer_38 (BatchNormalization (None, 28, 28, 128) 512 conv_layer_37[0][0]
__________________________________________________________________________________________________
activation_38 (Activation) (None, 28, 28, 128) 0 bn_layer_38[0][0]
__________________________________________________________________________________________________
conv_layer_38 (Conv2D) (None, 28, 28, 32) 36896 activation_38[0][0]
__________________________________________________________________________________________________
bn_layer_39 (BatchNormalization (None, 28, 28, 32) 128 conv_layer_38[0][0]
__________________________________________________________________________________________________
activation_39 (Activation) (None, 28, 28, 32) 0 bn_layer_39[0][0]
__________________________________________________________________________________________________
conv_layer_39 (Conv2D) (None, 28, 28, 32) 1056 activation_39[0][0]
__________________________________________________________________________________________________
average_pooling2d_2 (AveragePoo (None, 14, 14, 32) 0 conv_layer_39[0][0]
__________________________________________________________________________________________________
bn_layer_40 (BatchNormalization (None, 14, 14, 32) 128 average_pooling2d_2[0][0]
__________________________________________________________________________________________________
activation_40 (Activation) (None, 14, 14, 32) 0 bn_layer_40[0][0]
__________________________________________________________________________________________________
conv_layer_40 (Conv2D) (None, 14, 14, 128) 4224 activation_40[0][0]
__________________________________________________________________________________________________
bn_layer_41 (BatchNormalization (None, 14, 14, 128) 512 conv_layer_40[0][0]
__________________________________________________________________________________________________
activation_41 (Activation) (None, 14, 14, 128) 0 bn_layer_41[0][0]
__________________________________________________________________________________________________
conv_layer_41 (Conv2D) (None, 14, 14, 32) 36896 activation_41[0][0]
__________________________________________________________________________________________________
bn_layer_42 (BatchNormalization (None, 14, 14, 32) 128 conv_layer_41[0][0]
__________________________________________________________________________________________________
activation_42 (Activation) (None, 14, 14, 32) 0 bn_layer_42[0][0]
__________________________________________________________________________________________________
conv_layer_42 (Conv2D) (None, 14, 14, 128) 4224 activation_42[0][0]
__________________________________________________________________________________________________
bn_layer_43 (BatchNormalization (None, 14, 14, 128) 512 conv_layer_42[0][0]
__________________________________________________________________________________________________
activation_43 (Activation) (None, 14, 14, 128) 0 bn_layer_43[0][0]
__________________________________________________________________________________________________
conv_layer_43 (Conv2D) (None, 14, 14, 32) 36896 activation_43[0][0]
__________________________________________________________________________________________________
concatenate_15 (Concatenate) (None, 14, 14, 64) 0 conv_layer_41[0][0]
conv_layer_43[0][0]
__________________________________________________________________________________________________
bn_layer_44 (BatchNormalization (None, 14, 14, 64) 256 concatenate_15[0][0]
__________________________________________________________________________________________________
activation_44 (Activation) (None, 14, 14, 64) 0 bn_layer_44[0][0]
__________________________________________________________________________________________________
conv_layer_44 (Conv2D) (None, 14, 14, 128) 8320 activation_44[0][0]
__________________________________________________________________________________________________
bn_layer_45 (BatchNormalization (None, 14, 14, 128) 512 conv_layer_44[0][0]
__________________________________________________________________________________________________
activation_45 (Activation) (None, 14, 14, 128) 0 bn_layer_45[0][0]
__________________________________________________________________________________________________
conv_layer_45 (Conv2D) (None, 14, 14, 32) 36896 activation_45[0][0]
__________________________________________________________________________________________________
concatenate_16 (Concatenate) (None, 14, 14, 96) 0 conv_layer_41[0][0]
conv_layer_43[0][0]
conv_layer_45[0][0]
__________________________________________________________________________________________________
bn_layer_46 (BatchNormalization (None, 14, 14, 96) 384 concatenate_16[0][0]
__________________________________________________________________________________________________
activation_46 (Activation) (None, 14, 14, 96) 0 bn_layer_46[0][0]
__________________________________________________________________________________________________
conv_layer_46 (Conv2D) (None, 14, 14, 128) 12416 activation_46[0][0]
__________________________________________________________________________________________________
bn_layer_47 (BatchNormalization (None, 14, 14, 128) 512 conv_layer_46[0][0]
__________________________________________________________________________________________________
activation_47 (Activation) (None, 14, 14, 128) 0 bn_layer_47[0][0]
__________________________________________________________________________________________________
conv_layer_47 (Conv2D) (None, 14, 14, 32) 36896 activation_47[0][0]
__________________________________________________________________________________________________
concatenate_17 (Concatenate) (None, 14, 14, 128) 0 conv_layer_41[0][0]
conv_layer_43[0][0]
conv_layer_45[0][0]
conv_layer_47[0][0]
__________________________________________________________________________________________________
bn_layer_48 (BatchNormalization (None, 14, 14, 128) 512 concatenate_17[0][0]
__________________________________________________________________________________________________
activation_48 (Activation) (None, 14, 14, 128) 0 bn_layer_48[0][0]
__________________________________________________________________________________________________
conv_layer_48 (Conv2D) (None, 14, 14, 128) 16512 activation_48[0][0]
__________________________________________________________________________________________________
bn_layer_49 (BatchNormalization (None, 14, 14, 128) 512 conv_layer_48[0][0]
__________________________________________________________________________________________________
activation_49 (Activation) (None, 14, 14, 128) 0 bn_layer_49[0][0]
__________________________________________________________________________________________________
conv_layer_49 (Conv2D) (None, 14, 14, 32) 36896 activation_49[0][0]
__________________________________________________________________________________________________
concatenate_18 (Concatenate) (None, 14, 14, 160) 0 conv_layer_41[0][0]
conv_layer_43[0][0]
conv_layer_45[0][0]
conv_layer_47[0][0]
conv_layer_49[0][0]
__________________________________________________________________________________________________
bn_layer_50 (BatchNormalization (None, 14, 14, 160) 640 concatenate_18[0][0]
__________________________________________________________________________________________________
activation_50 (Activation) (None, 14, 14, 160) 0 bn_layer_50[0][0]
__________________________________________________________________________________________________
conv_layer_50 (Conv2D) (None, 14, 14, 128) 20608 activation_50[0][0]
__________________________________________________________________________________________________
bn_layer_51 (BatchNormalization (None, 14, 14, 128) 512 conv_layer_50[0][0]
__________________________________________________________________________________________________
activation_51 (Activation) (None, 14, 14, 128) 0 bn_layer_51[0][0]
__________________________________________________________________________________________________
conv_layer_51 (Conv2D) (None, 14, 14, 32) 36896 activation_51[0][0]
__________________________________________________________________________________________________
concatenate_19 (Concatenate) (None, 14, 14, 192) 0 conv_layer_41[0][0]
conv_layer_43[0][0]
conv_layer_45[0][0]
conv_layer_47[0][0]
conv_layer_49[0][0]
conv_layer_51[0][0]
__________________________________________________________________________________________________
bn_layer_52 (BatchNormalization (None, 14, 14, 192) 768 concatenate_19[0][0]
__________________________________________________________________________________________________
activation_52 (Activation) (None, 14, 14, 192) 0 bn_layer_52[0][0]
__________________________________________________________________________________________________
conv_layer_52 (Conv2D) (None, 14, 14, 128) 24704 activation_52[0][0]
__________________________________________________________________________________________________
bn_layer_53 (BatchNormalization (None, 14, 14, 128) 512 conv_layer_52[0][0]
__________________________________________________________________________________________________
activation_53 (Activation) (None, 14, 14, 128) 0 bn_layer_53[0][0]
__________________________________________________________________________________________________
conv_layer_53 (Conv2D) (None, 14, 14, 32) 36896 activation_53[0][0]
__________________________________________________________________________________________________
concatenate_20 (Concatenate) (None, 14, 14, 224) 0 conv_layer_41[0][0]
conv_layer_43[0][0]
conv_layer_45[0][0]
conv_layer_47[0][0]
conv_layer_49[0][0]
conv_layer_51[0][0]
conv_layer_53[0][0]
__________________________________________________________________________________________________
bn_layer_54 (BatchNormalization (None, 14, 14, 224) 896 concatenate_20[0][0]
__________________________________________________________________________________________________
activation_54 (Activation) (None, 14, 14, 224) 0 bn_layer_54[0][0]
__________________________________________________________________________________________________
conv_layer_54 (Conv2D) (None, 14, 14, 128) 28800 activation_54[0][0]
__________________________________________________________________________________________________
bn_layer_55 (BatchNormalization (None, 14, 14, 128) 512 conv_layer_54[0][0]
__________________________________________________________________________________________________
activation_55 (Activation) (None, 14, 14, 128) 0 bn_layer_55[0][0]
__________________________________________________________________________________________________
conv_layer_55 (Conv2D) (None, 14, 14, 32) 36896 activation_55[0][0]
__________________________________________________________________________________________________
concatenate_21 (Concatenate) (None, 14, 14, 256) 0 conv_layer_41[0][0]
conv_layer_43[0][0]
conv_layer_45[0][0]
conv_layer_47[0][0]
conv_layer_49[0][0]
conv_layer_51[0][0]
conv_layer_53[0][0]
conv_layer_55[0][0]
__________________________________________________________________________________________________
bn_layer_56 (BatchNormalization (None, 14, 14, 256) 1024 concatenate_21[0][0]
__________________________________________________________________________________________________
activation_56 (Activation) (None, 14, 14, 256) 0 bn_layer_56[0][0]
__________________________________________________________________________________________________
conv_layer_56 (Conv2D) (None, 14, 14, 128) 32896 activation_56[0][0]
__________________________________________________________________________________________________
bn_layer_57 (BatchNormalization (None, 14, 14, 128) 512 conv_layer_56[0][0]
__________________________________________________________________________________________________
activation_57 (Activation) (None, 14, 14, 128) 0 bn_layer_57[0][0]
__________________________________________________________________________________________________
conv_layer_57 (Conv2D) (None, 14, 14, 32) 36896 activation_57[0][0]
__________________________________________________________________________________________________
concatenate_22 (Concatenate) (None, 14, 14, 288) 0 conv_layer_41[0][0]
conv_layer_43[0][0]
conv_layer_45[0][0]
conv_layer_47[0][0]
conv_layer_49[0][0]
conv_layer_51[0][0]
conv_layer_53[0][0]
conv_layer_55[0][0]
conv_layer_57[0][0]
__________________________________________________________________________________________________
bn_layer_58 (BatchNormalization (None, 14, 14, 288) 1152 concatenate_22[0][0]
__________________________________________________________________________________________________
activation_58 (Activation) (None, 14, 14, 288) 0 bn_layer_58[0][0]
__________________________________________________________________________________________________
conv_layer_58 (Conv2D) (None, 14, 14, 128) 36992 activation_58[0][0]
__________________________________________________________________________________________________
bn_layer_59 (BatchNormalization (None, 14, 14, 128) 512 conv_layer_58[0][0]
__________________________________________________________________________________________________
activation_59 (Activation) (None, 14, 14, 128) 0 bn_layer_59[0][0]
__________________________________________________________________________________________________
conv_layer_59 (Conv2D) (None, 14, 14, 32) 36896 activation_59[0][0]
__________________________________________________________________________________________________
concatenate_23 (Concatenate) (None, 14, 14, 320) 0 conv_layer_41[0][0]
conv_layer_43[0][0]
conv_layer_45[0][0]
conv_layer_47[0][0]
conv_layer_49[0][0]
conv_layer_51[0][0]
conv_layer_53[0][0]
conv_layer_55[0][0]
conv_layer_57[0][0]
conv_layer_59[0][0]
__________________________________________________________________________________________________
bn_layer_60 (BatchNormalization (None, 14, 14, 320) 1280 concatenate_23[0][0]
__________________________________________________________________________________________________
activation_60 (Activation) (None, 14, 14, 320) 0 bn_layer_60[0][0]
__________________________________________________________________________________________________
conv_layer_60 (Conv2D) (None, 14, 14, 128) 41088 activation_60[0][0]
__________________________________________________________________________________________________
bn_layer_61 (BatchNormalization (None, 14, 14, 128) 512 conv_layer_60[0][0]
__________________________________________________________________________________________________
activation_61 (Activation) (None, 14, 14, 128) 0 bn_layer_61[0][0]
__________________________________________________________________________________________________
conv_layer_61 (Conv2D) (None, 14, 14, 32) 36896 activation_61[0][0]
__________________________________________________________________________________________________
concatenate_24 (Concatenate) (None, 14, 14, 352) 0 conv_layer_41[0][0]
conv_layer_43[0][0]
conv_layer_45[0][0]
conv_layer_47[0][0]
conv_layer_49[0][0]
conv_layer_51[0][0]
conv_layer_53[0][0]
conv_layer_55[0][0]
conv_layer_57[0][0]
conv_layer_59[0][0]
conv_layer_61[0][0]
__________________________________________________________________________________________________
bn_layer_62 (BatchNormalization (None, 14, 14, 352) 1408 concatenate_24[0][0]
__________________________________________________________________________________________________
activation_62 (Activation) (None, 14, 14, 352) 0 bn_layer_62[0][0]
__________________________________________________________________________________________________
conv_layer_62 (Conv2D) (None, 14, 14, 128) 45184 activation_62[0][0]
__________________________________________________________________________________________________
bn_layer_63 (BatchNormalization (None, 14, 14, 128) 512 conv_layer_62[0][0]
__________________________________________________________________________________________________
activation_63 (Activation) (None, 14, 14, 128) 0 bn_layer_63[0][0]
__________________________________________________________________________________________________
conv_layer_63 (Conv2D) (None, 14, 14, 32) 36896 activation_63[0][0]
__________________________________________________________________________________________________
concatenate_25 (Concatenate) (None, 14, 14, 384) 0 conv_layer_41[0][0]
conv_layer_43[0][0]
conv_layer_45[0][0]
conv_layer_47[0][0]
conv_layer_49[0][0]
conv_layer_51[0][0]
conv_layer_53[0][0]
conv_layer_55[0][0]
conv_layer_57[0][0]
conv_layer_59[0][0]
conv_layer_61[0][0]
conv_layer_63[0][0]
__________________________________________________________________________________________________
bn_layer_64 (BatchNormalization (None, 14, 14, 384) 1536 concatenate_25[0][0]
__________________________________________________________________________________________________
activation_64 (Activation) (None, 14, 14, 384) 0 bn_layer_64[0][0]
__________________________________________________________________________________________________
conv_layer_64 (Conv2D) (None, 14, 14, 128) 49280 activation_64[0][0]
__________________________________________________________________________________________________
bn_layer_65 (BatchNormalization (None, 14, 14, 128) 512 conv_layer_64[0][0]
__________________________________________________________________________________________________
activation_65 (Activation) (None, 14, 14, 128) 0 bn_layer_65[0][0]
__________________________________________________________________________________________________
conv_layer_65 (Conv2D) (None, 14, 14, 32) 36896 activation_65[0][0]
__________________________________________________________________________________________________
concatenate_26 (Concatenate) (None, 14, 14, 416) 0 conv_layer_41[0][0]
conv_layer_43[0][0]
conv_layer_45[0][0]
conv_layer_47[0][0]
conv_layer_49[0][0]
conv_layer_51[0][0]
conv_layer_53[0][0]
conv_layer_55[0][0]
conv_layer_57[0][0]
conv_layer_59[0][0]
conv_layer_61[0][0]
conv_layer_63[0][0]
conv_layer_65[0][0]
__________________________________________________________________________________________________
bn_layer_66 (BatchNormalization (None, 14, 14, 416) 1664 concatenate_26[0][0]
__________________________________________________________________________________________________
activation_66 (Activation) (None, 14, 14, 416) 0 bn_layer_66[0][0]
__________________________________________________________________________________________________
conv_layer_66 (Conv2D) (None, 14, 14, 128) 53376 activation_66[0][0]
__________________________________________________________________________________________________
bn_layer_67 (BatchNormalization (None, 14, 14, 128) 512 conv_layer_66[0][0]
__________________________________________________________________________________________________
activation_67 (Activation) (None, 14, 14, 128) 0 bn_layer_67[0][0]
__________________________________________________________________________________________________
conv_layer_67 (Conv2D) (None, 14, 14, 32) 36896 activation_67[0][0]
__________________________________________________________________________________________________
concatenate_27 (Concatenate) (None, 14, 14, 448) 0 conv_layer_41[0][0]
conv_layer_43[0][0]
conv_layer_45[0][0]
conv_layer_47[0][0]
conv_layer_49[0][0]
conv_layer_51[0][0]
conv_layer_53[0][0]
conv_layer_55[0][0]
conv_layer_57[0][0]
conv_layer_59[0][0]
conv_layer_61[0][0]
conv_layer_63[0][0]
conv_layer_65[0][0]
conv_layer_67[0][0]
__________________________________________________________________________________________________
bn_layer_68 (BatchNormalization (None, 14, 14, 448) 1792 concatenate_27[0][0]
__________________________________________________________________________________________________
activation_68 (Activation) (None, 14, 14, 448) 0 bn_layer_68[0][0]
__________________________________________________________________________________________________
conv_layer_68 (Conv2D) (None, 14, 14, 128) 57472 activation_68[0][0]
__________________________________________________________________________________________________
bn_layer_69 (BatchNormalization (None, 14, 14, 128) 512 conv_layer_68[0][0]
__________________________________________________________________________________________________
activation_69 (Activation) (None, 14, 14, 128) 0 bn_layer_69[0][0]
__________________________________________________________________________________________________
conv_layer_69 (Conv2D) (None, 14, 14, 32) 36896 activation_69[0][0]
__________________________________________________________________________________________________
concatenate_28 (Concatenate) (None, 14, 14, 480) 0 conv_layer_41[0][0]
conv_layer_43[0][0]
conv_layer_45[0][0]
conv_layer_47[0][0]
conv_layer_49[0][0]
conv_layer_51[0][0]
conv_layer_53[0][0]
conv_layer_55[0][0]
conv_layer_57[0][0]
conv_layer_59[0][0]
conv_layer_61[0][0]
conv_layer_63[0][0]
conv_layer_65[0][0]
conv_layer_67[0][0]
conv_layer_69[0][0]
__________________________________________________________________________________________________
bn_layer_70 (BatchNormalization (None, 14, 14, 480) 1920 concatenate_28[0][0]
__________________________________________________________________________________________________
activation_70 (Activation) (None, 14, 14, 480) 0 bn_layer_70[0][0]
__________________________________________________________________________________________________
conv_layer_70 (Conv2D) (None, 14, 14, 128) 61568 activation_70[0][0]
__________________________________________________________________________________________________
bn_layer_71 (BatchNormalization (None, 14, 14, 128) 512 conv_layer_70[0][0]
__________________________________________________________________________________________________
activation_71 (Activation) (None, 14, 14, 128) 0 bn_layer_71[0][0]
__________________________________________________________________________________________________
conv_layer_71 (Conv2D) (None, 14, 14, 32) 36896 activation_71[0][0]
__________________________________________________________________________________________________
concatenate_29 (Concatenate) (None, 14, 14, 512) 0 conv_layer_41[0][0]
conv_layer_43[0][0]
conv_layer_45[0][0]
conv_layer_47[0][0]
conv_layer_49[0][0]
conv_layer_51[0][0]
conv_layer_53[0][0]
conv_layer_55[0][0]
conv_layer_57[0][0]
conv_layer_59[0][0]
conv_layer_61[0][0]
conv_layer_63[0][0]
conv_layer_65[0][0]
conv_layer_67[0][0]
conv_layer_69[0][0]
conv_layer_71[0][0]
__________________________________________________________________________________________________
bn_layer_72 (BatchNormalization (None, 14, 14, 512) 2048 concatenate_29[0][0]
__________________________________________________________________________________________________
activation_72 (Activation) (None, 14, 14, 512) 0 bn_layer_72[0][0]
__________________________________________________________________________________________________
conv_layer_72 (Conv2D) (None, 14, 14, 128) 65664 activation_72[0][0]
__________________________________________________________________________________________________
bn_layer_73 (BatchNormalization (None, 14, 14, 128) 512 conv_layer_72[0][0]
__________________________________________________________________________________________________
activation_73 (Activation) (None, 14, 14, 128) 0 bn_layer_73[0][0]
__________________________________________________________________________________________________
conv_layer_73 (Conv2D) (None, 14, 14, 32) 36896 activation_73[0][0]
__________________________________________________________________________________________________
concatenate_30 (Concatenate) (None, 14, 14, 544) 0 conv_layer_41[0][0]
conv_layer_43[0][0]
conv_layer_45[0][0]
conv_layer_47[0][0]
conv_layer_49[0][0]
conv_layer_51[0][0]
conv_layer_53[0][0]
conv_layer_55[0][0]
conv_layer_57[0][0]
conv_layer_59[0][0]
conv_layer_61[0][0]
conv_layer_63[0][0]
conv_layer_65[0][0]
conv_layer_67[0][0]
conv_layer_69[0][0]
conv_layer_71[0][0]
conv_layer_73[0][0]
__________________________________________________________________________________________________
bn_layer_74 (BatchNormalization (None, 14, 14, 544) 2176 concatenate_30[0][0]
__________________________________________________________________________________________________
activation_74 (Activation) (None, 14, 14, 544) 0 bn_layer_74[0][0]
__________________________________________________________________________________________________
conv_layer_74 (Conv2D) (None, 14, 14, 128) 69760 activation_74[0][0]
__________________________________________________________________________________________________
bn_layer_75 (BatchNormalization (None, 14, 14, 128) 512 conv_layer_74[0][0]
__________________________________________________________________________________________________
activation_75 (Activation) (None, 14, 14, 128) 0 bn_layer_75[0][0]
__________________________________________________________________________________________________
conv_layer_75 (Conv2D) (None, 14, 14, 32) 36896 activation_75[0][0]
__________________________________________________________________________________________________
concatenate_31 (Concatenate) (None, 14, 14, 576) 0 conv_layer_41[0][0]
conv_layer_43[0][0]
conv_layer_45[0][0]
conv_layer_47[0][0]
conv_layer_49[0][0]
conv_layer_51[0][0]
conv_layer_53[0][0]
conv_layer_55[0][0]
conv_layer_57[0][0]
conv_layer_59[0][0]
conv_layer_61[0][0]
conv_layer_63[0][0]
conv_layer_65[0][0]
conv_layer_67[0][0]
conv_layer_69[0][0]
conv_layer_71[0][0]
conv_layer_73[0][0]
conv_layer_75[0][0]
__________________________________________________________________________________________________
bn_layer_76 (BatchNormalization (None, 14, 14, 576) 2304 concatenate_31[0][0]
__________________________________________________________________________________________________
activation_76 (Activation) (None, 14, 14, 576) 0 bn_layer_76[0][0]
__________________________________________________________________________________________________
conv_layer_76 (Conv2D) (None, 14, 14, 128) 73856 activation_76[0][0]
__________________________________________________________________________________________________
bn_layer_77 (BatchNormalization (None, 14, 14, 128) 512 conv_layer_76[0][0]
__________________________________________________________________________________________________
activation_77 (Activation) (None, 14, 14, 128) 0 bn_layer_77[0][0]
__________________________________________________________________________________________________
conv_layer_77 (Conv2D) (None, 14, 14, 32) 36896 activation_77[0][0]
__________________________________________________________________________________________________
concatenate_32 (Concatenate) (None, 14, 14, 608) 0 conv_layer_41[0][0]
conv_layer_43[0][0]
conv_layer_45[0][0]
conv_layer_47[0][0]
conv_layer_49[0][0]
conv_layer_51[0][0]
conv_layer_53[0][0]
conv_layer_55[0][0]
conv_layer_57[0][0]
conv_layer_59[0][0]
conv_layer_61[0][0]
conv_layer_63[0][0]
conv_layer_65[0][0]
conv_layer_67[0][0]
conv_layer_69[0][0]
conv_layer_71[0][0]
conv_layer_73[0][0]
conv_layer_75[0][0]
conv_layer_77[0][0]
__________________________________________________________________________________________________
bn_layer_78 (BatchNormalization (None, 14, 14, 608) 2432 concatenate_32[0][0]
__________________________________________________________________________________________________
activation_78 (Activation) (None, 14, 14, 608) 0 bn_layer_78[0][0]
__________________________________________________________________________________________________
conv_layer_78 (Conv2D) (None, 14, 14, 128) 77952 activation_78[0][0]
__________________________________________________________________________________________________
bn_layer_79 (BatchNormalization (None, 14, 14, 128) 512 conv_layer_78[0][0]
__________________________________________________________________________________________________
activation_79 (Activation) (None, 14, 14, 128) 0 bn_layer_79[0][0]
__________________________________________________________________________________________________
conv_layer_79 (Conv2D) (None, 14, 14, 32) 36896 activation_79[0][0]
__________________________________________________________________________________________________
concatenate_33 (Concatenate) (None, 14, 14, 640) 0 conv_layer_41[0][0]
conv_layer_43[0][0]
conv_layer_45[0][0]
conv_layer_47[0][0]
conv_layer_49[0][0]
conv_layer_51[0][0]
conv_layer_53[0][0]
conv_layer_55[0][0]
conv_layer_57[0][0]
conv_layer_59[0][0]
conv_layer_61[0][0]
conv_layer_63[0][0]
conv_layer_65[0][0]
conv_layer_67[0][0]
conv_layer_69[0][0]
conv_layer_71[0][0]
conv_layer_73[0][0]
conv_layer_75[0][0]
conv_layer_77[0][0]
conv_layer_79[0][0]
__________________________________________________________________________________________________
bn_layer_80 (BatchNormalization (None, 14, 14, 640) 2560 concatenate_33[0][0]
__________________________________________________________________________________________________
activation_80 (Activation) (None, 14, 14, 640) 0 bn_layer_80[0][0]
__________________________________________________________________________________________________
conv_layer_80 (Conv2D) (None, 14, 14, 128) 82048 activation_80[0][0]
__________________________________________________________________________________________________
bn_layer_81 (BatchNormalization (None, 14, 14, 128) 512 conv_layer_80[0][0]
__________________________________________________________________________________________________
activation_81 (Activation) (None, 14, 14, 128) 0 bn_layer_81[0][0]
__________________________________________________________________________________________________
conv_layer_81 (Conv2D) (None, 14, 14, 32) 36896 activation_81[0][0]
__________________________________________________________________________________________________
concatenate_34 (Concatenate) (None, 14, 14, 672) 0 conv_layer_41[0][0]
conv_layer_43[0][0]
conv_layer_45[0][0]
conv_layer_47[0][0]
conv_layer_49[0][0]
conv_layer_51[0][0]
conv_layer_53[0][0]
conv_layer_55[0][0]
conv_layer_57[0][0]
conv_layer_59[0][0]
conv_layer_61[0][0]
conv_layer_63[0][0]
conv_layer_65[0][0]
conv_layer_67[0][0]
conv_layer_69[0][0]
conv_layer_71[0][0]
conv_layer_73[0][0]
conv_layer_75[0][0]
conv_layer_77[0][0]
conv_layer_79[0][0]
conv_layer_81[0][0]
__________________________________________________________________________________________________
bn_layer_82 (BatchNormalization (None, 14, 14, 672) 2688 concatenate_34[0][0]
__________________________________________________________________________________________________
activation_82 (Activation) (None, 14, 14, 672) 0 bn_layer_82[0][0]
__________________________________________________________________________________________________
conv_layer_82 (Conv2D) (None, 14, 14, 128) 86144 activation_82[0][0]
__________________________________________________________________________________________________
bn_layer_83 (BatchNormalization (None, 14, 14, 128) 512 conv_layer_82[0][0]
__________________________________________________________________________________________________
activation_83 (Activation) (None, 14, 14, 128) 0 bn_layer_83[0][0]
__________________________________________________________________________________________________
conv_layer_83 (Conv2D) (None, 14, 14, 32) 36896 activation_83[0][0]
__________________________________________________________________________________________________
concatenate_35 (Concatenate) (None, 14, 14, 704) 0 conv_layer_41[0][0]
conv_layer_43[0][0]
conv_layer_45[0][0]
conv_layer_47[0][0]
conv_layer_49[0][0]
conv_layer_51[0][0]
conv_layer_53[0][0]
conv_layer_55[0][0]
conv_layer_57[0][0]
conv_layer_59[0][0]
conv_layer_61[0][0]
conv_layer_63[0][0]
conv_layer_65[0][0]
conv_layer_67[0][0]
conv_layer_69[0][0]
conv_layer_71[0][0]
conv_layer_73[0][0]
conv_layer_75[0][0]
conv_layer_77[0][0]
conv_layer_79[0][0]
conv_layer_81[0][0]
conv_layer_83[0][0]
__________________________________________________________________________________________________
bn_layer_84 (BatchNormalization (None, 14, 14, 704) 2816 concatenate_35[0][0]
__________________________________________________________________________________________________
activation_84 (Activation) (None, 14, 14, 704) 0 bn_layer_84[0][0]
__________________________________________________________________________________________________
conv_layer_84 (Conv2D) (None, 14, 14, 128) 90240 activation_84[0][0]
__________________________________________________________________________________________________
bn_layer_85 (BatchNormalization (None, 14, 14, 128) 512 conv_layer_84[0][0]
__________________________________________________________________________________________________
activation_85 (Activation) (None, 14, 14, 128) 0 bn_layer_85[0][0]
__________________________________________________________________________________________________
conv_layer_85 (Conv2D) (None, 14, 14, 32) 36896 activation_85[0][0]
__________________________________________________________________________________________________
concatenate_36 (Concatenate) (None, 14, 14, 736) 0 conv_layer_41[0][0]
conv_layer_43[0][0]
conv_layer_45[0][0]
conv_layer_47[0][0]
conv_layer_49[0][0]
conv_layer_51[0][0]
conv_layer_53[0][0]
conv_layer_55[0][0]
conv_layer_57[0][0]
conv_layer_59[0][0]
conv_layer_61[0][0]
conv_layer_63[0][0]
conv_layer_65[0][0]
conv_layer_67[0][0]
conv_layer_69[0][0]
conv_layer_71[0][0]
conv_layer_73[0][0]
conv_layer_75[0][0]
conv_layer_77[0][0]
conv_layer_79[0][0]
conv_layer_81[0][0]
conv_layer_83[0][0]
conv_layer_85[0][0]
__________________________________________________________________________________________________
bn_layer_86 (BatchNormalization (None, 14, 14, 736) 2944 concatenate_36[0][0]
__________________________________________________________________________________________________
activation_86 (Activation) (None, 14, 14, 736) 0 bn_layer_86[0][0]
__________________________________________________________________________________________________
conv_layer_86 (Conv2D) (None, 14, 14, 128) 94336 activation_86[0][0]
__________________________________________________________________________________________________
bn_layer_87 (BatchNormalization (None, 14, 14, 128) 512 conv_layer_86[0][0]
__________________________________________________________________________________________________
activation_87 (Activation) (None, 14, 14, 128) 0 bn_layer_87[0][0]
__________________________________________________________________________________________________
conv_layer_87 (Conv2D) (None, 14, 14, 32) 36896 activation_87[0][0]
__________________________________________________________________________________________________
bn_layer_88 (BatchNormalization (None, 14, 14, 32) 128 conv_layer_87[0][0]
__________________________________________________________________________________________________
activation_88 (Activation) (None, 14, 14, 32) 0 bn_layer_88[0][0]
__________________________________________________________________________________________________
conv_layer_88 (Conv2D) (None, 14, 14, 32) 1056 activation_88[0][0]
__________________________________________________________________________________________________
average_pooling2d_3 (AveragePoo (None, 7, 7, 32) 0 conv_layer_88[0][0]
__________________________________________________________________________________________________
bn_layer_89 (BatchNormalization (None, 7, 7, 32) 128 average_pooling2d_3[0][0]
__________________________________________________________________________________________________
activation_89 (Activation) (None, 7, 7, 32) 0 bn_layer_89[0][0]
__________________________________________________________________________________________________
conv_layer_89 (Conv2D) (None, 7, 7, 128) 4224 activation_89[0][0]
__________________________________________________________________________________________________
bn_layer_90 (BatchNormalization (None, 7, 7, 128) 512 conv_layer_89[0][0]
__________________________________________________________________________________________________
activation_90 (Activation) (None, 7, 7, 128) 0 bn_layer_90[0][0]
__________________________________________________________________________________________________
conv_layer_90 (Conv2D) (None, 7, 7, 32) 36896 activation_90[0][0]
__________________________________________________________________________________________________
bn_layer_91 (BatchNormalization (None, 7, 7, 32) 128 conv_layer_90[0][0]
__________________________________________________________________________________________________
activation_91 (Activation) (None, 7, 7, 32) 0 bn_layer_91[0][0]
__________________________________________________________________________________________________
conv_layer_91 (Conv2D) (None, 7, 7, 128) 4224 activation_91[0][0]
__________________________________________________________________________________________________
bn_layer_92 (BatchNormalization (None, 7, 7, 128) 512 conv_layer_91[0][0]
__________________________________________________________________________________________________
activation_92 (Activation) (None, 7, 7, 128) 0 bn_layer_92[0][0]
__________________________________________________________________________________________________
conv_layer_92 (Conv2D) (None, 7, 7, 32) 36896 activation_92[0][0]
__________________________________________________________________________________________________
concatenate_37 (Concatenate) (None, 7, 7, 64) 0 conv_layer_90[0][0]
conv_layer_92[0][0]
__________________________________________________________________________________________________
bn_layer_93 (BatchNormalization (None, 7, 7, 64) 256 concatenate_37[0][0]
__________________________________________________________________________________________________
activation_93 (Activation) (None, 7, 7, 64) 0 bn_layer_93[0][0]
__________________________________________________________________________________________________
conv_layer_93 (Conv2D) (None, 7, 7, 128) 8320 activation_93[0][0]
__________________________________________________________________________________________________
bn_layer_94 (BatchNormalization (None, 7, 7, 128) 512 conv_layer_93[0][0]
__________________________________________________________________________________________________
activation_94 (Activation) (None, 7, 7, 128) 0 bn_layer_94[0][0]
__________________________________________________________________________________________________
conv_layer_94 (Conv2D) (None, 7, 7, 32) 36896 activation_94[0][0]
__________________________________________________________________________________________________
concatenate_38 (Concatenate) (None, 7, 7, 96) 0 conv_layer_90[0][0]
conv_layer_92[0][0]
conv_layer_94[0][0]
__________________________________________________________________________________________________
bn_layer_95 (BatchNormalization (None, 7, 7, 96) 384 concatenate_38[0][0]
__________________________________________________________________________________________________
activation_95 (Activation) (None, 7, 7, 96) 0 bn_layer_95[0][0]
__________________________________________________________________________________________________
conv_layer_95 (Conv2D) (None, 7, 7, 128) 12416 activation_95[0][0]
__________________________________________________________________________________________________
bn_layer_96 (BatchNormalization (None, 7, 7, 128) 512 conv_layer_95[0][0]
__________________________________________________________________________________________________
activation_96 (Activation) (None, 7, 7, 128) 0 bn_layer_96[0][0]
__________________________________________________________________________________________________
conv_layer_96 (Conv2D) (None, 7, 7, 32) 36896 activation_96[0][0]
__________________________________________________________________________________________________
concatenate_39 (Concatenate) (None, 7, 7, 128) 0 conv_layer_90[0][0]
conv_layer_92[0][0]
conv_layer_94[0][0]
conv_layer_96[0][0]
__________________________________________________________________________________________________
bn_layer_97 (BatchNormalization (None, 7, 7, 128) 512 concatenate_39[0][0]
__________________________________________________________________________________________________
activation_97 (Activation) (None, 7, 7, 128) 0 bn_layer_97[0][0]
__________________________________________________________________________________________________
conv_layer_97 (Conv2D) (None, 7, 7, 128) 16512 activation_97[0][0]