n =
177×1
Layer array with layers:
1 '' Image Input 112×112×3 images with 'zerocenter' normalization
2 'conv1' Convolution 64 7×7×3 convolutions with stride [2 2] and padding [3 3 3 3]
3 'bn_conv1' Batch Normalization Batch normalization with 64 channels
4 'activation_1_relu' ReLU ReLU
5 'max_pooling2d_1' Max Pooling 3×3 max pooling with stride [2 2] and padding [1 1 1 1]
6 'res2a_branch2a' Convolution 64 1×1×64 convolutions with stride [1 1] and padding [0 0 0 0]
7 'bn2a_branch2a' Batch Normalization Batch normalization with 64 channels
8 'activation_2_relu' ReLU ReLU
9 'res2a_branch2b' Convolution 64 3×3×64 convolutions with stride [1 1] and padding 'same'
10 'bn2a_branch2b' Batch Normalization Batch normalization with 64 channels
11 'activation_3_relu' ReLU ReLU
12 'res2a_branch2c' Convolution 256 1×1×64 convolutions with stride [1 1] and padding [0 0 0 0]
13 'res2a_branch1' Convolution 256 1×1×64 convolutions with stride [1 1] and padding [0 0 0 0]
14 'bn2a_branch2c' Batch Normalization Batch normalization with 256 channels
15 'bn2a_branch1' Batch Normalization Batch normalization with 256 channels
16 'add_1' Addition Element-wise addition of 2 inputs
17 'activation_4_relu' ReLU ReLU
18 'res2b_branch2a' Convolution 64 1×1×256 convolutions with stride [1 1] and padding [0 0 0 0]
19 'bn2b_branch2a' Batch Normalization Batch normalization with 64 channels
20 'activation_5_relu' ReLU ReLU
21 'res2b_branch2b' Convolution 64 3×3×64 convolutions with stride [1 1] and padding 'same'
22 'bn2b_branch2b' Batch Normalization Batch normalization with 64 channels
23 'activation_6_relu' ReLU ReLU
24 'res2b_branch2c' Convolution 256 1×1×64 convolutions with stride [1 1] and padding [0 0 0 0]
25 'bn2b_branch2c' Batch Normalization Batch normalization with 256 channels
26 'add_2' Addition Element-wise addition of 2 inputs
27 'activation_7_relu' ReLU ReLU
28 'res2c_branch2a' Convolution 64 1×1×256 convolutions with stride [1 1] and padding [0 0 0 0]
29 'bn2c_branch2a' Batch Normalization Batch normalization with 64 channels
30 'activation_8_relu' ReLU ReLU
31 'res2c_branch2b' Convolution 64 3×3×64 convolutions with stride [1 1] and padding 'same'
32 'bn2c_branch2b' Batch Normalization Batch normalization with 64 channels
33 'activation_9_relu' ReLU ReLU
34 'res2c_branch2c' Convolution 256 1×1×64 convolutions with stride [1 1] and padding [0 0 0 0]
35 'bn2c_branch2c' Batch Normalization Batch normalization with 256 channels
36 'add_3' Addition Element-wise addition of 2 inputs
37 'activation_10_relu' ReLU ReLU
38 'res3a_branch2a' Convolution 128 1×1×256 convolutions with stride [2 2] and padding [0 0 0 0]
39 'bn3a_branch2a' Batch Normalization Batch normalization with 128 channels
40 'activation_11_relu' ReLU ReLU
41 'res3a_branch2b' Convolution 128 3×3×128 convolutions with stride [1 1] and padding 'same'
42 'bn3a_branch2b' Batch Normalization Batch normalization with 128 channels
43 'activation_12_relu' ReLU ReLU
44 'res3a_branch2c' Convolution 512 1×1×128 convolutions with stride [1 1] and padding [0 0 0 0]
45 'res3a_branch1' Convolution 512 1×1×256 convolutions with stride [2 2] and padding [0 0 0 0]
46 'bn3a_branch2c' Batch Normalization Batch normalization with 512 channels
47 'bn3a_branch1' Batch Normalization Batch normalization with 512 channels
48 'add_4' Addition Element-wise addition of 2 inputs
49 'activation_13_relu' ReLU ReLU
50 'res3b_branch2a' Convolution 128 1×1×512 convolutions with stride [1 1] and padding [0 0 0 0]
51 'bn3b_branch2a' Batch Normalization Batch normalization with 128 channels
52 'activation_14_relu' ReLU ReLU
53 'res3b_branch2b' Convolution 128 3×3×128 convolutions with stride [1 1] and padding 'same'
54 'bn3b_branch2b' Batch Normalization Batch normalization with 128 channels
55 'activation_15_relu' ReLU ReLU
56 'res3b_branch2c' Convolution 512 1×1×128 convolutions with stride [1 1] and padding [0 0 0 0]
57 'bn3b_branch2c' Batch Normalization Batch normalization with 512 channels
58 'add_5' Addition Element-wise addition of 2 inputs
59 'activation_16_relu' ReLU ReLU
60 'res3c_branch2a' Convolution 128 1×1×512 convolutions with stride [1 1] and padding [0 0 0 0]
61 'bn3c_branch2a' Batch Normalization Batch normalization with 128 channels
62 'activation_17_relu' ReLU ReLU
63 'res3c_branch2b' Convolution 128 3×3×128 convolutions with stride [1 1] and padding 'same'
64 'bn3c_branch2b' Batch Normalization Batch normalization with 128 channels
65 'activation_18_relu' ReLU ReLU
66 'res3c_branch2c' Convolution 512 1×1×128 convolutions with stride [1 1] and padding [0 0 0 0]
67 'bn3c_branch2c' Batch Normalization Batch normalization with 512 channels
68 'add_6' Addition Element-wise addition of 2 inputs
69 'activation_19_relu' ReLU ReLU
70 'res3d_branch2a' Convolution 128 1×1×512 convolutions with stride [1 1] and padding [0 0 0 0]
71 'bn3d_branch2a' Batch Normalization Batch normalization with 128 channels
72 'activation_20_relu' ReLU ReLU
73 'res3d_branch2b' Convolution 128 3×3×128 convolutions with stride [1 1] and padding 'same'
74 'bn3d_branch2b' Batch Normalization Batch normalization with 128 channels
75 'activation_21_relu' ReLU ReLU
76 'res3d_branch2c' Convolution 512 1×1×128 convolutions with stride [1 1] and padding [0 0 0 0]
77 'bn3d_branch2c' Batch Normalization Batch normalization with 512 channels
78 'add_7' Addition Element-wise addition of 2 inputs
79 'activation_22_relu' ReLU ReLU
80 'res4a_branch2a' Convolution 256 1×1×512 convolutions with stride [2 2] and padding [0 0 0 0]
81 'bn4a_branch2a' Batch Normalization Batch normalization with 256 channels
82 'activation_23_relu' ReLU ReLU
83 'res4a_branch2b' Convolution 256 3×3×256 convolutions with stride [1 1] and padding 'same'
84 'bn4a_branch2b' Batch Normalization Batch normalization with 256 channels
85 'activation_24_relu' ReLU ReLU
86 'res4a_branch2c' Convolution 1024 1×1×256 convolutions with stride [1 1] and padding [0 0 0 0]
87 'res4a_branch1' Convolution 1024 1×1×512 convolutions with stride [2 2] and padding [0 0 0 0]
88 'bn4a_branch2c' Batch Normalization Batch normalization with 1024 channels
89 'bn4a_branch1' Batch Normalization Batch normalization with 1024 channels
90 'add_8' Addition Element-wise addition of 2 inputs
91 'activation_25_relu' ReLU ReLU
92 'res4b_branch2a' Convolution 256 1×1×1024 convolutions with stride [1 1] and padding [0 0 0 0]
93 'bn4b_branch2a' Batch Normalization Batch normalization with 256 channels
94 'activation_26_relu' ReLU ReLU
95 'res4b_branch2b' Convolution 256 3×3×256 convolutions with stride [1 1] and padding 'same'
96 'bn4b_branch2b' Batch Normalization Batch normalization with 256 channels
97 'activation_27_relu' ReLU ReLU
98 'res4b_branch2c' Convolution 1024 1×1×256 convolutions with stride [1 1] and padding [0 0 0 0]
99 'bn4b_branch2c' Batch Normalization Batch normalization with 1024 channels
100 'add_9' Addition Element-wise addition of 2 inputs
101 'activation_28_relu' ReLU ReLU
102 'res4c_branch2a' Convolution 256 1×1×1024 convolutions with stride [1 1] and padding [0 0 0 0]
103 'bn4c_branch2a' Batch Normalization Batch normalization with 256 channels
104 'activation_29_relu' ReLU ReLU
105 'res4c_branch2b' Convolution 256 3×3×256 convolutions with stride [1 1] and padding 'same'
106 'bn4c_branch2b' Batch Normalization Batch normalization with 256 channels
107 'activation_30_relu' ReLU ReLU
108 'res4c_branch2c' Convolution 1024 1×1×256 convolutions with stride [1 1] and padding [0 0 0 0]
109 'bn4c_branch2c' Batch Normalization Batch normalization with 1024 channels
110 'add_10' Addition Element-wise addition of 2 inputs
111 'activation_31_relu' ReLU ReLU
112 'res4d_branch2a' Convolution 256 1×1×1024 convolutions with stride [1 1] and padding [0 0 0 0]
113 'bn4d_branch2a' Batch Normalization Batch normalization with 256 channels
114 'activation_32_relu' ReLU ReLU
115 'res4d_branch2b' Convolution 256 3×3×256 convolutions with stride [1 1] and padding 'same'
116 'bn4d_branch2b' Batch Normalization Batch normalization with 256 channels
117 'activation_33_relu' ReLU ReLU
118 'res4d_branch2c' Convolution 1024 1×1×256 convolutions with stride [1 1] and padding [0 0 0 0]
119 'bn4d_branch2c' Batch Normalization Batch normalization with 1024 channels
120 'add_11' Addition Element-wise addition of 2 inputs
121 'activation_34_relu' ReLU ReLU
122 'res4e_branch2a' Convolution 256 1×1×1024 convolutions with stride [1 1] and padding [0 0 0 0]
123 'bn4e_branch2a' Batch Normalization Batch normalization with 256 channels
124 'activation_35_relu' ReLU ReLU
125 'res4e_branch2b' Convolution 256 3×3×256 convolutions with stride [1 1] and padding 'same'
126 'bn4e_branch2b' Batch Normalization Batch normalization with 256 channels
127 'activation_36_relu' ReLU ReLU
128 'res4e_branch2c' Convolution 1024 1×1×256 convolutions with stride [1 1] and padding [0 0 0 0]
129 'bn4e_branch2c' Batch Normalization Batch normalization with 1024 channels
130 'add_12' Addition Element-wise addition of 2 inputs
131 'activation_37_relu' ReLU ReLU
132 'res4f_branch2a' Convolution 256 1×1×1024 convolutions with stride [1 1] and padding [0 0 0 0]
133 'bn4f_branch2a' Batch Normalization Batch normalization with 256 channels
134 'activation_38_relu' ReLU ReLU
135 'res4f_branch2b' Convolution 256 3×3×256 convolutions with stride [1 1] and padding 'same'
136 'bn4f_branch2b' Batch Normalization Batch normalization with 256 channels
137 'activation_39_relu' ReLU ReLU
138 'res4f_branch2c' Convolution 1024 1×1×256 convolutions with stride [1 1] and padding [0 0 0 0]
139 'bn4f_branch2c' Batch Normalization Batch normalization with 1024 channels
140 'add_13' Addition Element-wise addition of 2 inputs
141 'activation_40_relu' ReLU ReLU
142 'res5a_branch2a' Convolution 512 1×1×1024 convolutions with stride [2 2] and padding [0 0 0 0]
143 'bn5a_branch2a' Batch Normalization Batch normalization with 512 channels
144 'activation_41_relu' ReLU ReLU
145 'res5a_branch2b' Convolution 512 3×3×512 convolutions with stride [1 1] and padding 'same'
146 'bn5a_branch2b' Batch Normalization Batch normalization with 512 channels
147 'activation_42_relu' ReLU ReLU
148 'res5a_branch2c' Convolution 2048 1×1×512 convolutions with stride [1 1] and padding [0 0 0 0]
149 'res5a_branch1' Convolution 2048 1×1×1024 convolutions with stride [2 2] and padding [0 0 0 0]
150 'bn5a_branch2c' Batch Normalization Batch normalization with 2048 channels
151 'bn5a_branch1' Batch Normalization Batch normalization with 2048 channels
152 'add_14' Addition Element-wise addition of 2 inputs
153 'activation_43_relu' ReLU ReLU
154 'res5b_branch2a' Convolution 512 1×1×2048 convolutions with stride [1 1] and padding [0 0 0 0]
155 'bn5b_branch2a' Batch Normalization Batch normalization with 512 channels
156 'activation_44_relu' ReLU ReLU
157 'res5b_branch2b' Convolution 512 3×3×512 convolutions with stride [1 1] and padding 'same'
158 'bn5b_branch2b' Batch Normalization Batch normalization with 512 channels
159 'activation_45_relu' ReLU ReLU
160 'res5b_branch2c' Convolution 2048 1×1×512 convolutions with stride [1 1] and padding [0 0 0 0]
161 'bn5b_branch2c' Batch Normalization Batch normalization with 2048 channels
162 'add_15' Addition Element-wise addition of 2 inputs
163 'activation_46_relu' ReLU ReLU
164 'res5c_branch2a' Convolution 512 1×1×2048 convolutions with stride [1 1] and padding [0 0 0 0]
165 'bn5c_branch2a' Batch Normalization Batch normalization with 512 channels
166 'activation_47_relu' ReLU ReLU
167 'res5c_branch2b' Convolution 512 3×3×512 convolutions with stride [1 1] and padding 'same'
168 'bn5c_branch2b' Batch Normalization Batch normalization with 512 channels
169 'activation_48_relu' ReLU ReLU
170 'res5c_branch2c' Convolution 2048 1×1×512 convolutions with stride [1 1] and padding [0 0 0 0]
171 'bn5c_branch2c' Batch Normalization Batch normalization with 2048 channels
172 'add_16' Addition Element-wise addition of 2 inputs
173 'activation_49_relu' ReLU ReLU
174 'avg_pool' 2-D Global Average Pooling 2-D global average pooling
175 'fc1000' Fully Connected 1000 fully connected layer
176 'fc1000_softmax' Softmax softmax
177 'ClassificationLayer_fc1000' Classification Output crossentropyex with 'tench' and 999 other classes