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model.summary.txt
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model.summary.txt
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#############################################
Dense blocks: 3
Layers per dense block: [12, 12, 12]
#############################################
__________________________________________________________________________________________________
Layer (type) Output Shape Param # Connected to
==================================================================================================
input_1 (InputLayer) (None, 32, 32, 3) 0
__________________________________________________________________________________________________
conv2d_1 (Conv2D) (None, 32, 32, 24) 648 input_1[0][0]
__________________________________________________________________________________________________
batch_normalization_1 (BatchNor (None, 32, 32, 24) 96 conv2d_1[0][0]
__________________________________________________________________________________________________
activation_1 (Activation) (None, 32, 32, 24) 0 batch_normalization_1[0][0]
__________________________________________________________________________________________________
conv2d_2 (Conv2D) (None, 32, 32, 12) 2592 activation_1[0][0]
__________________________________________________________________________________________________
concatenate_1 (Concatenate) (None, 32, 32, 36) 0 conv2d_1[0][0]
conv2d_2[0][0]
__________________________________________________________________________________________________
batch_normalization_2 (BatchNor (None, 32, 32, 36) 144 concatenate_1[0][0]
__________________________________________________________________________________________________
activation_2 (Activation) (None, 32, 32, 36) 0 batch_normalization_2[0][0]
__________________________________________________________________________________________________
conv2d_3 (Conv2D) (None, 32, 32, 12) 3888 activation_2[0][0]
__________________________________________________________________________________________________
concatenate_2 (Concatenate) (None, 32, 32, 48) 0 conv2d_1[0][0]
conv2d_2[0][0]
conv2d_3[0][0]
__________________________________________________________________________________________________
batch_normalization_3 (BatchNor (None, 32, 32, 48) 192 concatenate_2[0][0]
__________________________________________________________________________________________________
activation_3 (Activation) (None, 32, 32, 48) 0 batch_normalization_3[0][0]
__________________________________________________________________________________________________
conv2d_4 (Conv2D) (None, 32, 32, 12) 5184 activation_3[0][0]
__________________________________________________________________________________________________
concatenate_3 (Concatenate) (None, 32, 32, 60) 0 conv2d_1[0][0]
conv2d_2[0][0]
conv2d_3[0][0]
conv2d_4[0][0]
__________________________________________________________________________________________________
batch_normalization_4 (BatchNor (None, 32, 32, 60) 240 concatenate_3[0][0]
__________________________________________________________________________________________________
activation_4 (Activation) (None, 32, 32, 60) 0 batch_normalization_4[0][0]
__________________________________________________________________________________________________
conv2d_5 (Conv2D) (None, 32, 32, 12) 6480 activation_4[0][0]
__________________________________________________________________________________________________
concatenate_4 (Concatenate) (None, 32, 32, 72) 0 conv2d_1[0][0]
conv2d_2[0][0]
conv2d_3[0][0]
conv2d_4[0][0]
conv2d_5[0][0]
__________________________________________________________________________________________________
batch_normalization_5 (BatchNor (None, 32, 32, 72) 288 concatenate_4[0][0]
__________________________________________________________________________________________________
activation_5 (Activation) (None, 32, 32, 72) 0 batch_normalization_5[0][0]
__________________________________________________________________________________________________
conv2d_6 (Conv2D) (None, 32, 32, 12) 7776 activation_5[0][0]
__________________________________________________________________________________________________
concatenate_5 (Concatenate) (None, 32, 32, 84) 0 conv2d_1[0][0]
conv2d_2[0][0]
conv2d_3[0][0]
conv2d_4[0][0]
conv2d_5[0][0]
conv2d_6[0][0]
__________________________________________________________________________________________________
batch_normalization_6 (BatchNor (None, 32, 32, 84) 336 concatenate_5[0][0]
__________________________________________________________________________________________________
activation_6 (Activation) (None, 32, 32, 84) 0 batch_normalization_6[0][0]
__________________________________________________________________________________________________
conv2d_7 (Conv2D) (None, 32, 32, 12) 9072 activation_6[0][0]
__________________________________________________________________________________________________
concatenate_6 (Concatenate) (None, 32, 32, 96) 0 conv2d_1[0][0]
conv2d_2[0][0]
conv2d_3[0][0]
conv2d_4[0][0]
conv2d_5[0][0]
conv2d_6[0][0]
conv2d_7[0][0]
__________________________________________________________________________________________________
batch_normalization_7 (BatchNor (None, 32, 32, 96) 384 concatenate_6[0][0]
__________________________________________________________________________________________________
activation_7 (Activation) (None, 32, 32, 96) 0 batch_normalization_7[0][0]
__________________________________________________________________________________________________
conv2d_8 (Conv2D) (None, 32, 32, 12) 10368 activation_7[0][0]
__________________________________________________________________________________________________
concatenate_7 (Concatenate) (None, 32, 32, 108) 0 conv2d_1[0][0]
conv2d_2[0][0]
conv2d_3[0][0]
conv2d_4[0][0]
conv2d_5[0][0]
conv2d_6[0][0]
conv2d_7[0][0]
conv2d_8[0][0]
__________________________________________________________________________________________________
batch_normalization_8 (BatchNor (None, 32, 32, 108) 432 concatenate_7[0][0]
__________________________________________________________________________________________________
activation_8 (Activation) (None, 32, 32, 108) 0 batch_normalization_8[0][0]
__________________________________________________________________________________________________
conv2d_9 (Conv2D) (None, 32, 32, 12) 11664 activation_8[0][0]
__________________________________________________________________________________________________
concatenate_8 (Concatenate) (None, 32, 32, 120) 0 conv2d_1[0][0]
conv2d_2[0][0]
conv2d_3[0][0]
conv2d_4[0][0]
conv2d_5[0][0]
conv2d_6[0][0]
conv2d_7[0][0]
conv2d_8[0][0]
conv2d_9[0][0]
__________________________________________________________________________________________________
batch_normalization_9 (BatchNor (None, 32, 32, 120) 480 concatenate_8[0][0]
__________________________________________________________________________________________________
activation_9 (Activation) (None, 32, 32, 120) 0 batch_normalization_9[0][0]
__________________________________________________________________________________________________
conv2d_10 (Conv2D) (None, 32, 32, 12) 12960 activation_9[0][0]
__________________________________________________________________________________________________
concatenate_9 (Concatenate) (None, 32, 32, 132) 0 conv2d_1[0][0]
conv2d_2[0][0]
conv2d_3[0][0]
conv2d_4[0][0]
conv2d_5[0][0]
conv2d_6[0][0]
conv2d_7[0][0]
conv2d_8[0][0]
conv2d_9[0][0]
conv2d_10[0][0]
__________________________________________________________________________________________________
batch_normalization_10 (BatchNo (None, 32, 32, 132) 528 concatenate_9[0][0]
__________________________________________________________________________________________________
activation_10 (Activation) (None, 32, 32, 132) 0 batch_normalization_10[0][0]
__________________________________________________________________________________________________
conv2d_11 (Conv2D) (None, 32, 32, 12) 14256 activation_10[0][0]
__________________________________________________________________________________________________
concatenate_10 (Concatenate) (None, 32, 32, 144) 0 conv2d_1[0][0]
conv2d_2[0][0]
conv2d_3[0][0]
conv2d_4[0][0]
conv2d_5[0][0]
conv2d_6[0][0]
conv2d_7[0][0]
conv2d_8[0][0]
conv2d_9[0][0]
conv2d_10[0][0]
conv2d_11[0][0]
__________________________________________________________________________________________________
batch_normalization_11 (BatchNo (None, 32, 32, 144) 576 concatenate_10[0][0]
__________________________________________________________________________________________________
activation_11 (Activation) (None, 32, 32, 144) 0 batch_normalization_11[0][0]
__________________________________________________________________________________________________
conv2d_12 (Conv2D) (None, 32, 32, 12) 15552 activation_11[0][0]
__________________________________________________________________________________________________
concatenate_11 (Concatenate) (None, 32, 32, 156) 0 conv2d_1[0][0]
conv2d_2[0][0]
conv2d_3[0][0]
conv2d_4[0][0]
conv2d_5[0][0]
conv2d_6[0][0]
conv2d_7[0][0]
conv2d_8[0][0]
conv2d_9[0][0]
conv2d_10[0][0]
conv2d_11[0][0]
conv2d_12[0][0]
__________________________________________________________________________________________________
batch_normalization_12 (BatchNo (None, 32, 32, 156) 624 concatenate_11[0][0]
__________________________________________________________________________________________________
activation_12 (Activation) (None, 32, 32, 156) 0 batch_normalization_12[0][0]
__________________________________________________________________________________________________
conv2d_13 (Conv2D) (None, 32, 32, 12) 16848 activation_12[0][0]
__________________________________________________________________________________________________
concatenate_12 (Concatenate) (None, 32, 32, 168) 0 conv2d_1[0][0]
conv2d_2[0][0]
conv2d_3[0][0]
conv2d_4[0][0]
conv2d_5[0][0]
conv2d_6[0][0]
conv2d_7[0][0]
conv2d_8[0][0]
conv2d_9[0][0]
conv2d_10[0][0]
conv2d_11[0][0]
conv2d_12[0][0]
conv2d_13[0][0]
__________________________________________________________________________________________________
batch_normalization_13 (BatchNo (None, 32, 32, 168) 672 concatenate_12[0][0]
__________________________________________________________________________________________________
activation_13 (Activation) (None, 32, 32, 168) 0 batch_normalization_13[0][0]
__________________________________________________________________________________________________
conv2d_14 (Conv2D) (None, 32, 32, 168) 28224 activation_13[0][0]
__________________________________________________________________________________________________
average_pooling2d_1 (AveragePoo (None, 16, 16, 168) 0 conv2d_14[0][0]
__________________________________________________________________________________________________
batch_normalization_14 (BatchNo (None, 16, 16, 168) 672 average_pooling2d_1[0][0]
__________________________________________________________________________________________________
activation_14 (Activation) (None, 16, 16, 168) 0 batch_normalization_14[0][0]
__________________________________________________________________________________________________
conv2d_15 (Conv2D) (None, 16, 16, 12) 18144 activation_14[0][0]
__________________________________________________________________________________________________
concatenate_13 (Concatenate) (None, 16, 16, 180) 0 average_pooling2d_1[0][0]
conv2d_15[0][0]
__________________________________________________________________________________________________
batch_normalization_15 (BatchNo (None, 16, 16, 180) 720 concatenate_13[0][0]
__________________________________________________________________________________________________
activation_15 (Activation) (None, 16, 16, 180) 0 batch_normalization_15[0][0]
__________________________________________________________________________________________________
conv2d_16 (Conv2D) (None, 16, 16, 12) 19440 activation_15[0][0]
__________________________________________________________________________________________________
concatenate_14 (Concatenate) (None, 16, 16, 192) 0 average_pooling2d_1[0][0]
conv2d_15[0][0]
conv2d_16[0][0]
__________________________________________________________________________________________________
batch_normalization_16 (BatchNo (None, 16, 16, 192) 768 concatenate_14[0][0]
__________________________________________________________________________________________________
activation_16 (Activation) (None, 16, 16, 192) 0 batch_normalization_16[0][0]
__________________________________________________________________________________________________
conv2d_17 (Conv2D) (None, 16, 16, 12) 20736 activation_16[0][0]
__________________________________________________________________________________________________
concatenate_15 (Concatenate) (None, 16, 16, 204) 0 average_pooling2d_1[0][0]
conv2d_15[0][0]
conv2d_16[0][0]
conv2d_17[0][0]
__________________________________________________________________________________________________
batch_normalization_17 (BatchNo (None, 16, 16, 204) 816 concatenate_15[0][0]
__________________________________________________________________________________________________
activation_17 (Activation) (None, 16, 16, 204) 0 batch_normalization_17[0][0]
__________________________________________________________________________________________________
conv2d_18 (Conv2D) (None, 16, 16, 12) 22032 activation_17[0][0]
__________________________________________________________________________________________________
concatenate_16 (Concatenate) (None, 16, 16, 216) 0 average_pooling2d_1[0][0]
conv2d_15[0][0]
conv2d_16[0][0]
conv2d_17[0][0]
conv2d_18[0][0]
__________________________________________________________________________________________________
batch_normalization_18 (BatchNo (None, 16, 16, 216) 864 concatenate_16[0][0]
__________________________________________________________________________________________________
activation_18 (Activation) (None, 16, 16, 216) 0 batch_normalization_18[0][0]
__________________________________________________________________________________________________
conv2d_19 (Conv2D) (None, 16, 16, 12) 23328 activation_18[0][0]
__________________________________________________________________________________________________
concatenate_17 (Concatenate) (None, 16, 16, 228) 0 average_pooling2d_1[0][0]
conv2d_15[0][0]
conv2d_16[0][0]
conv2d_17[0][0]
conv2d_18[0][0]
conv2d_19[0][0]
__________________________________________________________________________________________________
batch_normalization_19 (BatchNo (None, 16, 16, 228) 912 concatenate_17[0][0]
__________________________________________________________________________________________________
activation_19 (Activation) (None, 16, 16, 228) 0 batch_normalization_19[0][0]
__________________________________________________________________________________________________
conv2d_20 (Conv2D) (None, 16, 16, 12) 24624 activation_19[0][0]
__________________________________________________________________________________________________
concatenate_18 (Concatenate) (None, 16, 16, 240) 0 average_pooling2d_1[0][0]
conv2d_15[0][0]
conv2d_16[0][0]
conv2d_17[0][0]
conv2d_18[0][0]
conv2d_19[0][0]
conv2d_20[0][0]
__________________________________________________________________________________________________
batch_normalization_20 (BatchNo (None, 16, 16, 240) 960 concatenate_18[0][0]
__________________________________________________________________________________________________
activation_20 (Activation) (None, 16, 16, 240) 0 batch_normalization_20[0][0]
__________________________________________________________________________________________________
conv2d_21 (Conv2D) (None, 16, 16, 12) 25920 activation_20[0][0]
__________________________________________________________________________________________________
concatenate_19 (Concatenate) (None, 16, 16, 252) 0 average_pooling2d_1[0][0]
conv2d_15[0][0]
conv2d_16[0][0]
conv2d_17[0][0]
conv2d_18[0][0]
conv2d_19[0][0]
conv2d_20[0][0]
conv2d_21[0][0]
__________________________________________________________________________________________________
batch_normalization_21 (BatchNo (None, 16, 16, 252) 1008 concatenate_19[0][0]
__________________________________________________________________________________________________
activation_21 (Activation) (None, 16, 16, 252) 0 batch_normalization_21[0][0]
__________________________________________________________________________________________________
conv2d_22 (Conv2D) (None, 16, 16, 12) 27216 activation_21[0][0]
__________________________________________________________________________________________________
concatenate_20 (Concatenate) (None, 16, 16, 264) 0 average_pooling2d_1[0][0]
conv2d_15[0][0]
conv2d_16[0][0]
conv2d_17[0][0]
conv2d_18[0][0]
conv2d_19[0][0]
conv2d_20[0][0]
conv2d_21[0][0]
conv2d_22[0][0]
__________________________________________________________________________________________________
batch_normalization_22 (BatchNo (None, 16, 16, 264) 1056 concatenate_20[0][0]
__________________________________________________________________________________________________
activation_22 (Activation) (None, 16, 16, 264) 0 batch_normalization_22[0][0]
__________________________________________________________________________________________________
conv2d_23 (Conv2D) (None, 16, 16, 12) 28512 activation_22[0][0]
__________________________________________________________________________________________________
concatenate_21 (Concatenate) (None, 16, 16, 276) 0 average_pooling2d_1[0][0]
conv2d_15[0][0]
conv2d_16[0][0]
conv2d_17[0][0]
conv2d_18[0][0]
conv2d_19[0][0]
conv2d_20[0][0]
conv2d_21[0][0]
conv2d_22[0][0]
conv2d_23[0][0]
__________________________________________________________________________________________________
batch_normalization_23 (BatchNo (None, 16, 16, 276) 1104 concatenate_21[0][0]
__________________________________________________________________________________________________
activation_23 (Activation) (None, 16, 16, 276) 0 batch_normalization_23[0][0]
__________________________________________________________________________________________________
conv2d_24 (Conv2D) (None, 16, 16, 12) 29808 activation_23[0][0]
__________________________________________________________________________________________________
concatenate_22 (Concatenate) (None, 16, 16, 288) 0 average_pooling2d_1[0][0]
conv2d_15[0][0]
conv2d_16[0][0]
conv2d_17[0][0]
conv2d_18[0][0]
conv2d_19[0][0]
conv2d_20[0][0]
conv2d_21[0][0]
conv2d_22[0][0]
conv2d_23[0][0]
conv2d_24[0][0]
__________________________________________________________________________________________________
batch_normalization_24 (BatchNo (None, 16, 16, 288) 1152 concatenate_22[0][0]
__________________________________________________________________________________________________
activation_24 (Activation) (None, 16, 16, 288) 0 batch_normalization_24[0][0]
__________________________________________________________________________________________________
conv2d_25 (Conv2D) (None, 16, 16, 12) 31104 activation_24[0][0]
__________________________________________________________________________________________________
concatenate_23 (Concatenate) (None, 16, 16, 300) 0 average_pooling2d_1[0][0]
conv2d_15[0][0]
conv2d_16[0][0]
conv2d_17[0][0]
conv2d_18[0][0]
conv2d_19[0][0]
conv2d_20[0][0]
conv2d_21[0][0]
conv2d_22[0][0]
conv2d_23[0][0]
conv2d_24[0][0]
conv2d_25[0][0]
__________________________________________________________________________________________________
batch_normalization_25 (BatchNo (None, 16, 16, 300) 1200 concatenate_23[0][0]
__________________________________________________________________________________________________
activation_25 (Activation) (None, 16, 16, 300) 0 batch_normalization_25[0][0]
__________________________________________________________________________________________________
conv2d_26 (Conv2D) (None, 16, 16, 12) 32400 activation_25[0][0]
__________________________________________________________________________________________________
concatenate_24 (Concatenate) (None, 16, 16, 312) 0 average_pooling2d_1[0][0]
conv2d_15[0][0]
conv2d_16[0][0]
conv2d_17[0][0]
conv2d_18[0][0]
conv2d_19[0][0]
conv2d_20[0][0]
conv2d_21[0][0]
conv2d_22[0][0]
conv2d_23[0][0]
conv2d_24[0][0]
conv2d_25[0][0]
conv2d_26[0][0]
__________________________________________________________________________________________________
batch_normalization_26 (BatchNo (None, 16, 16, 312) 1248 concatenate_24[0][0]
__________________________________________________________________________________________________
activation_26 (Activation) (None, 16, 16, 312) 0 batch_normalization_26[0][0]
__________________________________________________________________________________________________
conv2d_27 (Conv2D) (None, 16, 16, 312) 97344 activation_26[0][0]
__________________________________________________________________________________________________
average_pooling2d_2 (AveragePoo (None, 8, 8, 312) 0 conv2d_27[0][0]
__________________________________________________________________________________________________
batch_normalization_27 (BatchNo (None, 8, 8, 312) 1248 average_pooling2d_2[0][0]
__________________________________________________________________________________________________
activation_27 (Activation) (None, 8, 8, 312) 0 batch_normalization_27[0][0]
__________________________________________________________________________________________________
conv2d_28 (Conv2D) (None, 8, 8, 12) 33696 activation_27[0][0]
__________________________________________________________________________________________________
concatenate_25 (Concatenate) (None, 8, 8, 324) 0 average_pooling2d_2[0][0]
conv2d_28[0][0]
__________________________________________________________________________________________________
batch_normalization_28 (BatchNo (None, 8, 8, 324) 1296 concatenate_25[0][0]
__________________________________________________________________________________________________
activation_28 (Activation) (None, 8, 8, 324) 0 batch_normalization_28[0][0]
__________________________________________________________________________________________________
conv2d_29 (Conv2D) (None, 8, 8, 12) 34992 activation_28[0][0]
__________________________________________________________________________________________________
concatenate_26 (Concatenate) (None, 8, 8, 336) 0 average_pooling2d_2[0][0]
conv2d_28[0][0]
conv2d_29[0][0]
__________________________________________________________________________________________________
batch_normalization_29 (BatchNo (None, 8, 8, 336) 1344 concatenate_26[0][0]
__________________________________________________________________________________________________
activation_29 (Activation) (None, 8, 8, 336) 0 batch_normalization_29[0][0]
__________________________________________________________________________________________________
conv2d_30 (Conv2D) (None, 8, 8, 12) 36288 activation_29[0][0]
__________________________________________________________________________________________________
concatenate_27 (Concatenate) (None, 8, 8, 348) 0 average_pooling2d_2[0][0]
conv2d_28[0][0]
conv2d_29[0][0]
conv2d_30[0][0]
__________________________________________________________________________________________________
batch_normalization_30 (BatchNo (None, 8, 8, 348) 1392 concatenate_27[0][0]
__________________________________________________________________________________________________
activation_30 (Activation) (None, 8, 8, 348) 0 batch_normalization_30[0][0]
__________________________________________________________________________________________________
conv2d_31 (Conv2D) (None, 8, 8, 12) 37584 activation_30[0][0]
__________________________________________________________________________________________________
concatenate_28 (Concatenate) (None, 8, 8, 360) 0 average_pooling2d_2[0][0]
conv2d_28[0][0]
conv2d_29[0][0]
conv2d_30[0][0]
conv2d_31[0][0]
__________________________________________________________________________________________________
batch_normalization_31 (BatchNo (None, 8, 8, 360) 1440 concatenate_28[0][0]
__________________________________________________________________________________________________
activation_31 (Activation) (None, 8, 8, 360) 0 batch_normalization_31[0][0]
__________________________________________________________________________________________________
conv2d_32 (Conv2D) (None, 8, 8, 12) 38880 activation_31[0][0]
__________________________________________________________________________________________________
concatenate_29 (Concatenate) (None, 8, 8, 372) 0 average_pooling2d_2[0][0]
conv2d_28[0][0]
conv2d_29[0][0]
conv2d_30[0][0]
conv2d_31[0][0]
conv2d_32[0][0]
__________________________________________________________________________________________________
batch_normalization_32 (BatchNo (None, 8, 8, 372) 1488 concatenate_29[0][0]
__________________________________________________________________________________________________
activation_32 (Activation) (None, 8, 8, 372) 0 batch_normalization_32[0][0]
__________________________________________________________________________________________________
conv2d_33 (Conv2D) (None, 8, 8, 12) 40176 activation_32[0][0]
__________________________________________________________________________________________________
concatenate_30 (Concatenate) (None, 8, 8, 384) 0 average_pooling2d_2[0][0]
conv2d_28[0][0]
conv2d_29[0][0]
conv2d_30[0][0]
conv2d_31[0][0]
conv2d_32[0][0]
conv2d_33[0][0]
__________________________________________________________________________________________________
batch_normalization_33 (BatchNo (None, 8, 8, 384) 1536 concatenate_30[0][0]
__________________________________________________________________________________________________
activation_33 (Activation) (None, 8, 8, 384) 0 batch_normalization_33[0][0]
__________________________________________________________________________________________________
conv2d_34 (Conv2D) (None, 8, 8, 12) 41472 activation_33[0][0]
__________________________________________________________________________________________________
concatenate_31 (Concatenate) (None, 8, 8, 396) 0 average_pooling2d_2[0][0]
conv2d_28[0][0]
conv2d_29[0][0]
conv2d_30[0][0]
conv2d_31[0][0]
conv2d_32[0][0]
conv2d_33[0][0]
conv2d_34[0][0]
__________________________________________________________________________________________________
batch_normalization_34 (BatchNo (None, 8, 8, 396) 1584 concatenate_31[0][0]
__________________________________________________________________________________________________
activation_34 (Activation) (None, 8, 8, 396) 0 batch_normalization_34[0][0]
__________________________________________________________________________________________________
conv2d_35 (Conv2D) (None, 8, 8, 12) 42768 activation_34[0][0]
__________________________________________________________________________________________________
concatenate_32 (Concatenate) (None, 8, 8, 408) 0 average_pooling2d_2[0][0]
conv2d_28[0][0]
conv2d_29[0][0]
conv2d_30[0][0]
conv2d_31[0][0]
conv2d_32[0][0]
conv2d_33[0][0]
conv2d_34[0][0]
conv2d_35[0][0]
__________________________________________________________________________________________________
batch_normalization_35 (BatchNo (None, 8, 8, 408) 1632 concatenate_32[0][0]
__________________________________________________________________________________________________
activation_35 (Activation) (None, 8, 8, 408) 0 batch_normalization_35[0][0]
__________________________________________________________________________________________________
conv2d_36 (Conv2D) (None, 8, 8, 12) 44064 activation_35[0][0]
__________________________________________________________________________________________________
concatenate_33 (Concatenate) (None, 8, 8, 420) 0 average_pooling2d_2[0][0]
conv2d_28[0][0]
conv2d_29[0][0]
conv2d_30[0][0]
conv2d_31[0][0]
conv2d_32[0][0]
conv2d_33[0][0]
conv2d_34[0][0]
conv2d_35[0][0]
conv2d_36[0][0]
__________________________________________________________________________________________________
batch_normalization_36 (BatchNo (None, 8, 8, 420) 1680 concatenate_33[0][0]
__________________________________________________________________________________________________
activation_36 (Activation) (None, 8, 8, 420) 0 batch_normalization_36[0][0]
__________________________________________________________________________________________________
conv2d_37 (Conv2D) (None, 8, 8, 12) 45360 activation_36[0][0]
__________________________________________________________________________________________________
concatenate_34 (Concatenate) (None, 8, 8, 432) 0 average_pooling2d_2[0][0]
conv2d_28[0][0]
conv2d_29[0][0]
conv2d_30[0][0]
conv2d_31[0][0]
conv2d_32[0][0]
conv2d_33[0][0]
conv2d_34[0][0]
conv2d_35[0][0]
conv2d_36[0][0]
conv2d_37[0][0]
__________________________________________________________________________________________________
batch_normalization_37 (BatchNo (None, 8, 8, 432) 1728 concatenate_34[0][0]
__________________________________________________________________________________________________
activation_37 (Activation) (None, 8, 8, 432) 0 batch_normalization_37[0][0]
__________________________________________________________________________________________________
conv2d_38 (Conv2D) (None, 8, 8, 12) 46656 activation_37[0][0]
__________________________________________________________________________________________________
concatenate_35 (Concatenate) (None, 8, 8, 444) 0 average_pooling2d_2[0][0]
conv2d_28[0][0]
conv2d_29[0][0]
conv2d_30[0][0]
conv2d_31[0][0]
conv2d_32[0][0]
conv2d_33[0][0]
conv2d_34[0][0]
conv2d_35[0][0]
conv2d_36[0][0]
conv2d_37[0][0]
conv2d_38[0][0]
__________________________________________________________________________________________________
batch_normalization_38 (BatchNo (None, 8, 8, 444) 1776 concatenate_35[0][0]
__________________________________________________________________________________________________
activation_38 (Activation) (None, 8, 8, 444) 0 batch_normalization_38[0][0]
__________________________________________________________________________________________________
conv2d_39 (Conv2D) (None, 8, 8, 12) 47952 activation_38[0][0]
__________________________________________________________________________________________________
concatenate_36 (Concatenate) (None, 8, 8, 456) 0 average_pooling2d_2[0][0]
conv2d_28[0][0]
conv2d_29[0][0]
conv2d_30[0][0]
conv2d_31[0][0]
conv2d_32[0][0]
conv2d_33[0][0]
conv2d_34[0][0]
conv2d_35[0][0]
conv2d_36[0][0]
conv2d_37[0][0]
conv2d_38[0][0]
conv2d_39[0][0]
__________________________________________________________________________________________________
batch_normalization_39 (BatchNo (None, 8, 8, 456) 1824 concatenate_36[0][0]
__________________________________________________________________________________________________
activation_39 (Activation) (None, 8, 8, 456) 0 batch_normalization_39[0][0]
__________________________________________________________________________________________________
global_average_pooling2d_1 (Glo (None, 456) 0 activation_39[0][0]
__________________________________________________________________________________________________
dense_1 (Dense) (None, 10) 4570 global_average_pooling2d_1[0][0]
==================================================================================================
Total params: 1,078,018
Trainable params: 1,059,298
Non-trainable params: 18,720