__________________________________________________________________________________________________
Layer (type) Output Shape Param # Connected to
==================================================================================================
input_11 (InputLayer) (None, 256, 256, 3) 0
__________________________________________________________________________________________________
conv2d_863 (Conv2D) (None, 128, 128, 32) 864 input_11[0][0]
__________________________________________________________________________________________________
batch_normalization_725 (BatchN (None, 128, 128, 32) 128 conv2d_863[0][0]
__________________________________________________________________________________________________
swish_585 (Swish) (None, 128, 128, 32) 0 batch_normalization_725[0][0]
__________________________________________________________________________________________________
depthwise_conv2d_193 (Depthwise (None, 128, 128, 32) 288 swish_585[0][0]
__________________________________________________________________________________________________
batch_normalization_726 (BatchN (None, 128, 128, 32) 128 depthwise_conv2d_193[0][0]
__________________________________________________________________________________________________
swish_586 (Swish) (None, 128, 128, 32) 0 batch_normalization_726[0][0]
__________________________________________________________________________________________________
lambda_193 (Lambda) (None, 1, 1, 32) 0 swish_586[0][0]
__________________________________________________________________________________________________
conv2d_864 (Conv2D) (None, 1, 1, 8) 264 lambda_193[0][0]
__________________________________________________________________________________________________
swish_587 (Swish) (None, 1, 1, 8) 0 conv2d_864[0][0]
__________________________________________________________________________________________________
conv2d_865 (Conv2D) (None, 1, 1, 32) 288 swish_587[0][0]
__________________________________________________________________________________________________
activation_193 (Activation) (None, 1, 1, 32) 0 conv2d_865[0][0]
__________________________________________________________________________________________________
multiply_193 (Multiply) (None, 128, 128, 32) 0 activation_193[0][0]
swish_586[0][0]
__________________________________________________________________________________________________
conv2d_866 (Conv2D) (None, 128, 128, 16) 512 multiply_193[0][0]
__________________________________________________________________________________________________
batch_normalization_727 (BatchN (None, 128, 128, 16) 64 conv2d_866[0][0]
__________________________________________________________________________________________________
conv2d_867 (Conv2D) (None, 128, 128, 96) 1536 batch_normalization_727[0][0]
__________________________________________________________________________________________________
batch_normalization_728 (BatchN (None, 128, 128, 96) 384 conv2d_867[0][0]
__________________________________________________________________________________________________
swish_588 (Swish) (None, 128, 128, 96) 0 batch_normalization_728[0][0]
__________________________________________________________________________________________________
depthwise_conv2d_194 (Depthwise (None, 64, 64, 96) 864 swish_588[0][0]
__________________________________________________________________________________________________
batch_normalization_729 (BatchN (None, 64, 64, 96) 384 depthwise_conv2d_194[0][0]
__________________________________________________________________________________________________
swish_589 (Swish) (None, 64, 64, 96) 0 batch_normalization_729[0][0]
__________________________________________________________________________________________________
lambda_194 (Lambda) (None, 1, 1, 96) 0 swish_589[0][0]
__________________________________________________________________________________________________
conv2d_868 (Conv2D) (None, 1, 1, 4) 388 lambda_194[0][0]
__________________________________________________________________________________________________
swish_590 (Swish) (None, 1, 1, 4) 0 conv2d_868[0][0]
__________________________________________________________________________________________________
conv2d_869 (Conv2D) (None, 1, 1, 96) 480 swish_590[0][0]
__________________________________________________________________________________________________
activation_194 (Activation) (None, 1, 1, 96) 0 conv2d_869[0][0]
__________________________________________________________________________________________________
multiply_194 (Multiply) (None, 64, 64, 96) 0 activation_194[0][0]
swish_589[0][0]
__________________________________________________________________________________________________
conv2d_870 (Conv2D) (None, 64, 64, 24) 2304 multiply_194[0][0]
__________________________________________________________________________________________________
batch_normalization_730 (BatchN (None, 64, 64, 24) 96 conv2d_870[0][0]
__________________________________________________________________________________________________
conv2d_871 (Conv2D) (None, 64, 64, 144) 3456 batch_normalization_730[0][0]
__________________________________________________________________________________________________
batch_normalization_731 (BatchN (None, 64, 64, 144) 576 conv2d_871[0][0]
__________________________________________________________________________________________________
swish_591 (Swish) (None, 64, 64, 144) 0 batch_normalization_731[0][0]
__________________________________________________________________________________________________
depthwise_conv2d_195 (Depthwise (None, 64, 64, 144) 1296 swish_591[0][0]
__________________________________________________________________________________________________
batch_normalization_732 (BatchN (None, 64, 64, 144) 576 depthwise_conv2d_195[0][0]
__________________________________________________________________________________________________
swish_592 (Swish) (None, 64, 64, 144) 0 batch_normalization_732[0][0]
__________________________________________________________________________________________________
lambda_195 (Lambda) (None, 1, 1, 144) 0 swish_592[0][0]
__________________________________________________________________________________________________
conv2d_872 (Conv2D) (None, 1, 1, 6) 870 lambda_195[0][0]
__________________________________________________________________________________________________
swish_593 (Swish) (None, 1, 1, 6) 0 conv2d_872[0][0]
__________________________________________________________________________________________________
conv2d_873 (Conv2D) (None, 1, 1, 144) 1008 swish_593[0][0]
__________________________________________________________________________________________________
activation_195 (Activation) (None, 1, 1, 144) 0 conv2d_873[0][0]
__________________________________________________________________________________________________
multiply_195 (Multiply) (None, 64, 64, 144) 0 activation_195[0][0]
swish_592[0][0]
__________________________________________________________________________________________________
conv2d_874 (Conv2D) (None, 64, 64, 24) 3456 multiply_195[0][0]
__________________________________________________________________________________________________
batch_normalization_733 (BatchN (None, 64, 64, 24) 96 conv2d_874[0][0]
__________________________________________________________________________________________________
drop_connect_123 (DropConnect) (None, 64, 64, 24) 0 batch_normalization_733[0][0]
__________________________________________________________________________________________________
add_158 (Add) (None, 64, 64, 24) 0 drop_connect_123[0][0]
batch_normalization_730[0][0]
__________________________________________________________________________________________________
conv2d_875 (Conv2D) (None, 64, 64, 144) 3456 add_158[0][0]
__________________________________________________________________________________________________
batch_normalization_734 (BatchN (None, 64, 64, 144) 576 conv2d_875[0][0]
__________________________________________________________________________________________________
swish_594 (Swish) (None, 64, 64, 144) 0 batch_normalization_734[0][0]
__________________________________________________________________________________________________
depthwise_conv2d_196 (Depthwise (None, 32, 32, 144) 3600 swish_594[0][0]
__________________________________________________________________________________________________
batch_normalization_735 (BatchN (None, 32, 32, 144) 576 depthwise_conv2d_196[0][0]
__________________________________________________________________________________________________
swish_595 (Swish) (None, 32, 32, 144) 0 batch_normalization_735[0][0]
__________________________________________________________________________________________________
lambda_196 (Lambda) (None, 1, 1, 144) 0 swish_595[0][0]
__________________________________________________________________________________________________
conv2d_876 (Conv2D) (None, 1, 1, 6) 870 lambda_196[0][0]
__________________________________________________________________________________________________
swish_596 (Swish) (None, 1, 1, 6) 0 conv2d_876[0][0]
__________________________________________________________________________________________________
conv2d_877 (Conv2D) (None, 1, 1, 144) 1008 swish_596[0][0]
__________________________________________________________________________________________________
activation_196 (Activation) (None, 1, 1, 144) 0 conv2d_877[0][0]
__________________________________________________________________________________________________
multiply_196 (Multiply) (None, 32, 32, 144) 0 activation_196[0][0]
swish_595[0][0]
__________________________________________________________________________________________________
conv2d_878 (Conv2D) (None, 32, 32, 40) 5760 multiply_196[0][0]
__________________________________________________________________________________________________
batch_normalization_736 (BatchN (None, 32, 32, 40) 160 conv2d_878[0][0]
__________________________________________________________________________________________________
conv2d_879 (Conv2D) (None, 32, 32, 240) 9600 batch_normalization_736[0][0]
__________________________________________________________________________________________________
batch_normalization_737 (BatchN (None, 32, 32, 240) 960 conv2d_879[0][0]
__________________________________________________________________________________________________
swish_597 (Swish) (None, 32, 32, 240) 0 batch_normalization_737[0][0]
__________________________________________________________________________________________________
depthwise_conv2d_197 (Depthwise (None, 32, 32, 240) 6000 swish_597[0][0]
__________________________________________________________________________________________________
batch_normalization_738 (BatchN (None, 32, 32, 240) 960 depthwise_conv2d_197[0][0]
__________________________________________________________________________________________________
swish_598 (Swish) (None, 32, 32, 240) 0 batch_normalization_738[0][0]
__________________________________________________________________________________________________
lambda_197 (Lambda) (None, 1, 1, 240) 0 swish_598[0][0]
__________________________________________________________________________________________________
conv2d_880 (Conv2D) (None, 1, 1, 10) 2410 lambda_197[0][0]
__________________________________________________________________________________________________
swish_599 (Swish) (None, 1, 1, 10) 0 conv2d_880[0][0]
__________________________________________________________________________________________________
conv2d_881 (Conv2D) (None, 1, 1, 240) 2640 swish_599[0][0]
__________________________________________________________________________________________________
activation_197 (Activation) (None, 1, 1, 240) 0 conv2d_881[0][0]
__________________________________________________________________________________________________
multiply_197 (Multiply) (None, 32, 32, 240) 0 activation_197[0][0]
swish_598[0][0]
__________________________________________________________________________________________________
conv2d_882 (Conv2D) (None, 32, 32, 40) 9600 multiply_197[0][0]
__________________________________________________________________________________________________
batch_normalization_739 (BatchN (None, 32, 32, 40) 160 conv2d_882[0][0]
__________________________________________________________________________________________________
drop_connect_124 (DropConnect) (None, 32, 32, 40) 0 batch_normalization_739[0][0]
__________________________________________________________________________________________________
add_159 (Add) (None, 32, 32, 40) 0 drop_connect_124[0][0]
batch_normalization_736[0][0]
__________________________________________________________________________________________________
conv2d_883 (Conv2D) (None, 32, 32, 240) 9600 add_159[0][0]
__________________________________________________________________________________________________
batch_normalization_740 (BatchN (None, 32, 32, 240) 960 conv2d_883[0][0]
__________________________________________________________________________________________________
swish_600 (Swish) (None, 32, 32, 240) 0 batch_normalization_740[0][0]
__________________________________________________________________________________________________
depthwise_conv2d_198 (Depthwise (None, 16, 16, 240) 2160 swish_600[0][0]
__________________________________________________________________________________________________
batch_normalization_741 (BatchN (None, 16, 16, 240) 960 depthwise_conv2d_198[0][0]
__________________________________________________________________________________________________
swish_601 (Swish) (None, 16, 16, 240) 0 batch_normalization_741[0][0]
__________________________________________________________________________________________________
lambda_198 (Lambda) (None, 1, 1, 240) 0 swish_601[0][0]
__________________________________________________________________________________________________
conv2d_884 (Conv2D) (None, 1, 1, 10) 2410 lambda_198[0][0]
__________________________________________________________________________________________________
swish_602 (Swish) (None, 1, 1, 10) 0 conv2d_884[0][0]
__________________________________________________________________________________________________
conv2d_885 (Conv2D) (None, 1, 1, 240) 2640 swish_602[0][0]
__________________________________________________________________________________________________
activation_198 (Activation) (None, 1, 1, 240) 0 conv2d_885[0][0]
__________________________________________________________________________________________________
multiply_198 (Multiply) (None, 16, 16, 240) 0 activation_198[0][0]
swish_601[0][0]
__________________________________________________________________________________________________
conv2d_886 (Conv2D) (None, 16, 16, 80) 19200 multiply_198[0][0]
__________________________________________________________________________________________________
batch_normalization_742 (BatchN (None, 16, 16, 80) 320 conv2d_886[0][0]
__________________________________________________________________________________________________
conv2d_887 (Conv2D) (None, 16, 16, 480) 38400 batch_normalization_742[0][0]
__________________________________________________________________________________________________
batch_normalization_743 (BatchN (None, 16, 16, 480) 1920 conv2d_887[0][0]
__________________________________________________________________________________________________
swish_603 (Swish) (None, 16, 16, 480) 0 batch_normalization_743[0][0]
__________________________________________________________________________________________________
depthwise_conv2d_199 (Depthwise (None, 16, 16, 480) 4320 swish_603[0][0]
__________________________________________________________________________________________________
batch_normalization_744 (BatchN (None, 16, 16, 480) 1920 depthwise_conv2d_199[0][0]
__________________________________________________________________________________________________
swish_604 (Swish) (None, 16, 16, 480) 0 batch_normalization_744[0][0]
__________________________________________________________________________________________________
lambda_199 (Lambda) (None, 1, 1, 480) 0 swish_604[0][0]
__________________________________________________________________________________________________
conv2d_888 (Conv2D) (None, 1, 1, 20) 9620 lambda_199[0][0]
__________________________________________________________________________________________________
swish_605 (Swish) (None, 1, 1, 20) 0 conv2d_888[0][0]
__________________________________________________________________________________________________
conv2d_889 (Conv2D) (None, 1, 1, 480) 10080 swish_605[0][0]
__________________________________________________________________________________________________
activation_199 (Activation) (None, 1, 1, 480) 0 conv2d_889[0][0]
__________________________________________________________________________________________________
multiply_199 (Multiply) (None, 16, 16, 480) 0 activation_199[0][0]
swish_604[0][0]
__________________________________________________________________________________________________
conv2d_890 (Conv2D) (None, 16, 16, 80) 38400 multiply_199[0][0]
__________________________________________________________________________________________________
batch_normalization_745 (BatchN (None, 16, 16, 80) 320 conv2d_890[0][0]
__________________________________________________________________________________________________
drop_connect_125 (DropConnect) (None, 16, 16, 80) 0 batch_normalization_745[0][0]
__________________________________________________________________________________________________
add_160 (Add) (None, 16, 16, 80) 0 drop_connect_125[0][0]
batch_normalization_742[0][0]
__________________________________________________________________________________________________
conv2d_891 (Conv2D) (None, 16, 16, 480) 38400 add_160[0][0]
__________________________________________________________________________________________________
batch_normalization_746 (BatchN (None, 16, 16, 480) 1920 conv2d_891[0][0]
__________________________________________________________________________________________________
swish_606 (Swish) (None, 16, 16, 480) 0 batch_normalization_746[0][0]
__________________________________________________________________________________________________
depthwise_conv2d_200 (Depthwise (None, 16, 16, 480) 4320 swish_606[0][0]
__________________________________________________________________________________________________
batch_normalization_747 (BatchN (None, 16, 16, 480) 1920 depthwise_conv2d_200[0][0]
__________________________________________________________________________________________________
swish_607 (Swish) (None, 16, 16, 480) 0 batch_normalization_747[0][0]
__________________________________________________________________________________________________
lambda_200 (Lambda) (None, 1, 1, 480) 0 swish_607[0][0]
__________________________________________________________________________________________________
conv2d_892 (Conv2D) (None, 1, 1, 20) 9620 lambda_200[0][0]
__________________________________________________________________________________________________
swish_608 (Swish) (None, 1, 1, 20) 0 conv2d_892[0][0]
__________________________________________________________________________________________________
conv2d_893 (Conv2D) (None, 1, 1, 480) 10080 swish_608[0][0]
__________________________________________________________________________________________________
activation_200 (Activation) (None, 1, 1, 480) 0 conv2d_893[0][0]
__________________________________________________________________________________________________
multiply_200 (Multiply) (None, 16, 16, 480) 0 activation_200[0][0]
swish_607[0][0]
__________________________________________________________________________________________________
conv2d_894 (Conv2D) (None, 16, 16, 80) 38400 multiply_200[0][0]
__________________________________________________________________________________________________
batch_normalization_748 (BatchN (None, 16, 16, 80) 320 conv2d_894[0][0]
__________________________________________________________________________________________________
drop_connect_126 (DropConnect) (None, 16, 16, 80) 0 batch_normalization_748[0][0]
__________________________________________________________________________________________________
add_161 (Add) (None, 16, 16, 80) 0 drop_connect_126[0][0]
add_160[0][0]
__________________________________________________________________________________________________
conv2d_895 (Conv2D) (None, 16, 16, 480) 38400 add_161[0][0]
__________________________________________________________________________________________________
batch_normalization_749 (BatchN (None, 16, 16, 480) 1920 conv2d_895[0][0]
__________________________________________________________________________________________________
swish_609 (Swish) (None, 16, 16, 480) 0 batch_normalization_749[0][0]
__________________________________________________________________________________________________
depthwise_conv2d_201 (Depthwise (None, 16, 16, 480) 12000 swish_609[0][0]
__________________________________________________________________________________________________
batch_normalization_750 (BatchN (None, 16, 16, 480) 1920 depthwise_conv2d_201[0][0]
__________________________________________________________________________________________________
swish_610 (Swish) (None, 16, 16, 480) 0 batch_normalization_750[0][0]
__________________________________________________________________________________________________
lambda_201 (Lambda) (None, 1, 1, 480) 0 swish_610[0][0]
__________________________________________________________________________________________________
conv2d_896 (Conv2D) (None, 1, 1, 20) 9620 lambda_201[0][0]
__________________________________________________________________________________________________
swish_611 (Swish) (None, 1, 1, 20) 0 conv2d_896[0][0]
__________________________________________________________________________________________________
conv2d_897 (Conv2D) (None, 1, 1, 480) 10080 swish_611[0][0]
__________________________________________________________________________________________________
activation_201 (Activation) (None, 1, 1, 480) 0 conv2d_897[0][0]
__________________________________________________________________________________________________
multiply_201 (Multiply) (None, 16, 16, 480) 0 activation_201[0][0]
swish_610[0][0]
__________________________________________________________________________________________________
conv2d_898 (Conv2D) (None, 16, 16, 112) 53760 multiply_201[0][0]
__________________________________________________________________________________________________
batch_normalization_751 (BatchN (None, 16, 16, 112) 448 conv2d_898[0][0]
__________________________________________________________________________________________________
conv2d_899 (Conv2D) (None, 16, 16, 672) 75264 batch_normalization_751[0][0]
__________________________________________________________________________________________________
batch_normalization_752 (BatchN (None, 16, 16, 672) 2688 conv2d_899[0][0]
__________________________________________________________________________________________________
swish_612 (Swish) (None, 16, 16, 672) 0 batch_normalization_752[0][0]
__________________________________________________________________________________________________
depthwise_conv2d_202 (Depthwise (None, 16, 16, 672) 16800 swish_612[0][0]
__________________________________________________________________________________________________
batch_normalization_753 (BatchN (None, 16, 16, 672) 2688 depthwise_conv2d_202[0][0]
__________________________________________________________________________________________________
swish_613 (Swish) (None, 16, 16, 672) 0 batch_normalization_753[0][0]
__________________________________________________________________________________________________
lambda_202 (Lambda) (None, 1, 1, 672) 0 swish_613[0][0]
__________________________________________________________________________________________________
conv2d_900 (Conv2D) (None, 1, 1, 28) 18844 lambda_202[0][0]
__________________________________________________________________________________________________
swish_614 (Swish) (None, 1, 1, 28) 0 conv2d_900[0][0]
__________________________________________________________________________________________________
conv2d_901 (Conv2D) (None, 1, 1, 672) 19488 swish_614[0][0]
__________________________________________________________________________________________________
activation_202 (Activation) (None, 1, 1, 672) 0 conv2d_901[0][0]
__________________________________________________________________________________________________
multiply_202 (Multiply) (None, 16, 16, 672) 0 activation_202[0][0]
swish_613[0][0]
__________________________________________________________________________________________________
conv2d_902 (Conv2D) (None, 16, 16, 112) 75264 multiply_202[0][0]
__________________________________________________________________________________________________
batch_normalization_754 (BatchN (None, 16, 16, 112) 448 conv2d_902[0][0]
__________________________________________________________________________________________________
drop_connect_127 (DropConnect) (None, 16, 16, 112) 0 batch_normalization_754[0][0]
__________________________________________________________________________________________________
add_162 (Add) (None, 16, 16, 112) 0 drop_connect_127[0][0]
batch_normalization_751[0][0]
__________________________________________________________________________________________________
conv2d_903 (Conv2D) (None, 16, 16, 672) 75264 add_162[0][0]
__________________________________________________________________________________________________
batch_normalization_755 (BatchN (None, 16, 16, 672) 2688 conv2d_903[0][0]
__________________________________________________________________________________________________
swish_615 (Swish) (None, 16, 16, 672) 0 batch_normalization_755[0][0]
__________________________________________________________________________________________________
depthwise_conv2d_203 (Depthwise (None, 16, 16, 672) 16800 swish_615[0][0]
__________________________________________________________________________________________________
batch_normalization_756 (BatchN (None, 16, 16, 672) 2688 depthwise_conv2d_203[0][0]
__________________________________________________________________________________________________
swish_616 (Swish) (None, 16, 16, 672) 0 batch_normalization_756[0][0]
__________________________________________________________________________________________________
lambda_203 (Lambda) (None, 1, 1, 672) 0 swish_616[0][0]
__________________________________________________________________________________________________
conv2d_904 (Conv2D) (None, 1, 1, 28) 18844 lambda_203[0][0]
__________________________________________________________________________________________________
swish_617 (Swish) (None, 1, 1, 28) 0 conv2d_904[0][0]
__________________________________________________________________________________________________
conv2d_905 (Conv2D) (None, 1, 1, 672) 19488 swish_617[0][0]
__________________________________________________________________________________________________
activation_203 (Activation) (None, 1, 1, 672) 0 conv2d_905[0][0]
__________________________________________________________________________________________________
multiply_203 (Multiply) (None, 16, 16, 672) 0 activation_203[0][0]
swish_616[0][0]
__________________________________________________________________________________________________
conv2d_906 (Conv2D) (None, 16, 16, 112) 75264 multiply_203[0][0]
__________________________________________________________________________________________________
batch_normalization_757 (BatchN (None, 16, 16, 112) 448 conv2d_906[0][0]
__________________________________________________________________________________________________
drop_connect_128 (DropConnect) (None, 16, 16, 112) 0 batch_normalization_757[0][0]
__________________________________________________________________________________________________
add_163 (Add) (None, 16, 16, 112) 0 drop_connect_128[0][0]
add_162[0][0]
__________________________________________________________________________________________________
conv2d_907 (Conv2D) (None, 16, 16, 672) 75264 add_163[0][0]
__________________________________________________________________________________________________
batch_normalization_758 (BatchN (None, 16, 16, 672) 2688 conv2d_907[0][0]
__________________________________________________________________________________________________
swish_618 (Swish) (None, 16, 16, 672) 0 batch_normalization_758[0][0]
__________________________________________________________________________________________________
depthwise_conv2d_204 (Depthwise (None, 8, 8, 672) 16800 swish_618[0][0]
__________________________________________________________________________________________________
batch_normalization_759 (BatchN (None, 8, 8, 672) 2688 depthwise_conv2d_204[0][0]
__________________________________________________________________________________________________
swish_619 (Swish) (None, 8, 8, 672) 0 batch_normalization_759[0][0]
__________________________________________________________________________________________________
lambda_204 (Lambda) (None, 1, 1, 672) 0 swish_619[0][0]
__________________________________________________________________________________________________
conv2d_908 (Conv2D) (None, 1, 1, 28) 18844 lambda_204[0][0]
__________________________________________________________________________________________________
swish_620 (Swish) (None, 1, 1, 28) 0 conv2d_908[0][0]
__________________________________________________________________________________________________
conv2d_909 (Conv2D) (None, 1, 1, 672) 19488 swish_620[0][0]
__________________________________________________________________________________________________
activation_204 (Activation) (None, 1, 1, 672) 0 conv2d_909[0][0]
__________________________________________________________________________________________________
multiply_204 (Multiply) (None, 8, 8, 672) 0 activation_204[0][0]
swish_619[0][0]
__________________________________________________________________________________________________
conv2d_910 (Conv2D) (None, 8, 8, 192) 129024 multiply_204[0][0]
__________________________________________________________________________________________________
batch_normalization_760 (BatchN (None, 8, 8, 192) 768 conv2d_910[0][0]
__________________________________________________________________________________________________
conv2d_911 (Conv2D) (None, 8, 8, 1152) 221184 batch_normalization_760[0][0]
__________________________________________________________________________________________________
batch_normalization_761 (BatchN (None, 8, 8, 1152) 4608 conv2d_911[0][0]
__________________________________________________________________________________________________
swish_621 (Swish) (None, 8, 8, 1152) 0 batch_normalization_761[0][0]
__________________________________________________________________________________________________
depthwise_conv2d_205 (Depthwise (None, 8, 8, 1152) 28800 swish_621[0][0]
__________________________________________________________________________________________________
batch_normalization_762 (BatchN (None, 8, 8, 1152) 4608 depthwise_conv2d_205[0][0]
__________________________________________________________________________________________________
swish_622 (Swish) (None, 8, 8, 1152) 0 batch_normalization_762[0][0]
__________________________________________________________________________________________________
lambda_205 (Lambda) (None, 1, 1, 1152) 0 swish_622[0][0]
__________________________________________________________________________________________________
conv2d_912 (Conv2D) (None, 1, 1, 48) 55344 lambda_205[0][0]
__________________________________________________________________________________________________
swish_623 (Swish) (None, 1, 1, 48) 0 conv2d_912[0][0]
__________________________________________________________________________________________________
conv2d_913 (Conv2D) (None, 1, 1, 1152) 56448 swish_623[0][0]
__________________________________________________________________________________________________
activation_205 (Activation) (None, 1, 1, 1152) 0 conv2d_913[0][0]
__________________________________________________________________________________________________
multiply_205 (Multiply) (None, 8, 8, 1152) 0 activation_205[0][0]
swish_622[0][0]
__________________________________________________________________________________________________
conv2d_914 (Conv2D) (None, 8, 8, 192) 221184 multiply_205[0][0]
__________________________________________________________________________________________________
batch_normalization_763 (BatchN (None, 8, 8, 192) 768 conv2d_914[0][0]
__________________________________________________________________________________________________
drop_connect_129 (DropConnect) (None, 8, 8, 192) 0 batch_normalization_763[0][0]
__________________________________________________________________________________________________
add_164 (Add) (None, 8, 8, 192) 0 drop_connect_129[0][0]
batch_normalization_760[0][0]
__________________________________________________________________________________________________
conv2d_915 (Conv2D) (None, 8, 8, 1152) 221184 add_164[0][0]
__________________________________________________________________________________________________
batch_normalization_764 (BatchN (None, 8, 8, 1152) 4608 conv2d_915[0][0]
__________________________________________________________________________________________________
swish_624 (Swish) (None, 8, 8, 1152) 0 batch_normalization_764[0][0]
__________________________________________________________________________________________________
depthwise_conv2d_206 (Depthwise (None, 8, 8, 1152) 28800 swish_624[0][0]
__________________________________________________________________________________________________
batch_normalization_765 (BatchN (None, 8, 8, 1152) 4608 depthwise_conv2d_206[0][0]
__________________________________________________________________________________________________
swish_625 (Swish) (None, 8, 8, 1152) 0 batch_normalization_765[0][0]
__________________________________________________________________________________________________
lambda_206 (Lambda) (None, 1, 1, 1152) 0 swish_625[0][0]
__________________________________________________________________________________________________
conv2d_916 (Conv2D) (None, 1, 1, 48) 55344 lambda_206[0][0]
__________________________________________________________________________________________________
swish_626 (Swish) (None, 1, 1, 48) 0 conv2d_916[0][0]
__________________________________________________________________________________________________
conv2d_917 (Conv2D) (None, 1, 1, 1152) 56448 swish_626[0][0]
__________________________________________________________________________________________________
activation_206 (Activation) (None, 1, 1, 1152) 0 conv2d_917[0][0]
__________________________________________________________________________________________________
multiply_206 (Multiply) (None, 8, 8, 1152) 0 activation_206[0][0]
swish_625[0][0]
__________________________________________________________________________________________________
conv2d_918 (Conv2D) (None, 8, 8, 192) 221184 multiply_206[0][0]
__________________________________________________________________________________________________
batch_normalization_766 (BatchN (None, 8, 8, 192) 768 conv2d_918[0][0]
__________________________________________________________________________________________________
drop_connect_130 (DropConnect) (None, 8, 8, 192) 0 batch_normalization_766[0][0]
__________________________________________________________________________________________________
add_165 (Add) (None, 8, 8, 192) 0 drop_connect_130[0][0]
add_164[0][0]
__________________________________________________________________________________________________
conv2d_919 (Conv2D) (None, 8, 8, 1152) 221184 add_165[0][0]
__________________________________________________________________________________________________
batch_normalization_767 (BatchN (None, 8, 8, 1152) 4608 conv2d_919[0][0]
__________________________________________________________________________________________________
swish_627 (Swish) (None, 8, 8, 1152) 0 batch_normalization_767[0][0]
__________________________________________________________________________________________________
depthwise_conv2d_207 (Depthwise (None, 8, 8, 1152) 28800 swish_627[0][0]
__________________________________________________________________________________________________
batch_normalization_768 (BatchN (None, 8, 8, 1152) 4608 depthwise_conv2d_207[0][0]
__________________________________________________________________________________________________
swish_628 (Swish) (None, 8, 8, 1152) 0 batch_normalization_768[0][0]
__________________________________________________________________________________________________
lambda_207 (Lambda) (None, 1, 1, 1152) 0 swish_628[0][0]
__________________________________________________________________________________________________
conv2d_920 (Conv2D) (None, 1, 1, 48) 55344 lambda_207[0][0]
__________________________________________________________________________________________________
swish_629 (Swish) (None, 1, 1, 48) 0 conv2d_920[0][0]
__________________________________________________________________________________________________
conv2d_921 (Conv2D) (None, 1, 1, 1152) 56448 swish_629[0][0]
__________________________________________________________________________________________________
activation_207 (Activation) (None, 1, 1, 1152) 0 conv2d_921[0][0]
__________________________________________________________________________________________________
multiply_207 (Multiply) (None, 8, 8, 1152) 0 activation_207[0][0]
swish_628[0][0]
__________________________________________________________________________________________________
conv2d_922 (Conv2D) (None, 8, 8, 192) 221184 multiply_207[0][0]
__________________________________________________________________________________________________
batch_normalization_769 (BatchN (None, 8, 8, 192) 768 conv2d_922[0][0]
__________________________________________________________________________________________________
drop_connect_131 (DropConnect) (None, 8, 8, 192) 0 batch_normalization_769[0][0]
__________________________________________________________________________________________________
add_166 (Add) (None, 8, 8, 192) 0 drop_connect_131[0][0]
add_165[0][0]
__________________________________________________________________________________________________
conv2d_923 (Conv2D) (None, 8, 8, 1152) 221184 add_166[0][0]
__________________________________________________________________________________________________
batch_normalization_770 (BatchN (None, 8, 8, 1152) 4608 conv2d_923[0][0]
__________________________________________________________________________________________________
swish_630 (Swish) (None, 8, 8, 1152) 0 batch_normalization_770[0][0]
__________________________________________________________________________________________________
depthwise_conv2d_208 (Depthwise (None, 8, 8, 1152) 10368 swish_630[0][0]
__________________________________________________________________________________________________
batch_normalization_771 (BatchN (None, 8, 8, 1152) 4608 depthwise_conv2d_208[0][0]
__________________________________________________________________________________________________
swish_631 (Swish) (None, 8, 8, 1152) 0 batch_normalization_771[0][0]
__________________________________________________________________________________________________
lambda_208 (Lambda) (None, 1, 1, 1152) 0 swish_631[0][0]
__________________________________________________________________________________________________
conv2d_924 (Conv2D) (None, 1, 1, 48) 55344 lambda_208[0][0]
__________________________________________________________________________________________________
swish_632 (Swish) (None, 1, 1, 48) 0 conv2d_924[0][0]
__________________________________________________________________________________________________
conv2d_925 (Conv2D) (None, 1, 1, 1152) 56448 swish_632[0][0]
__________________________________________________________________________________________________
activation_208 (Activation) (None, 1, 1, 1152) 0 conv2d_925[0][0]
__________________________________________________________________________________________________
multiply_208 (Multiply) (None, 8, 8, 1152) 0 activation_208[0][0]
swish_631[0][0]
__________________________________________________________________________________________________
conv2d_926 (Conv2D) (None, 8, 8, 320) 368640 multiply_208[0][0]
__________________________________________________________________________________________________
batch_normalization_772 (BatchN (None, 8, 8, 320) 1280 conv2d_926[0][0]
__________________________________________________________________________________________________
conv2d_927 (Conv2D) (None, 8, 8, 1280) 409600 batch_normalization_772[0][0]
__________________________________________________________________________________________________
batch_normalization_773 (BatchN (None, 8, 8, 1280) 5120 conv2d_927[0][0]
__________________________________________________________________________________________________
swish_633 (Swish) (None, 8, 8, 1280) 0 batch_normalization_773[0][0]
==================================================================================================
Total params: 4,049,564
Trainable params: 4,007,548
Non-trainable params: 42,016
__________________________________________________________________________________________________
2022-02-23
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