Layer No. | Layer Name | Briefly Explanation |
1 | Image Input (data) | 227x227x3 images with zerocenter normalization |
2 | Convolution (conv1) | 96 11x11x3 convolutions with stride [4 4] and padding [0 0 0 0] |
3 | ReLU (relu1) | ReLU |
4 | Cross Channel Normalization (norm1) | cross channel normalization with 5 channels per element |
5 | Max Pooling (pool1) | 3x3 max pooling with stride [2 2] and padding [0 0 0 0] |
6 | Convolution (conv2) | 256 5x5x48 convolutions with stride [1 1] and padding [2 2 2 2] |
7 | ReLU (relu2) | ReLU |
8 | Cross ChannelNormalization (norm2) | cross channel normalization with 5 channels per element |
9 | Max Pooling (pool2) | 3x3 max pooling with stride [2 2] and padding [0 0 0 0] |
10 | Convolution (conv3) | 384 3x3x256 convolutions with stride [1 1] and padding [1 1 1 1] |
11 | ReLU (relu3) | ReLU |
12 | Convolution (conv4) | 384 3x3x192 convolutions with stride [1 1] and padding [1 1 1 1] |
13 | ReLU (relu4) | ReLU |
14 | Convolution (conv5) | 256 3x3x192 convolutions with stride [1 1] and padding [1 1 1 1] |
15 | ReLU (relu5) | ReLU |
16 | Max Pooling (pool5) | 3x3 max pooling with stride [2 2] and padding [0 0 0 0] |
17 | Fully Connected (fc6) | 4096 fully connected layer |
18 | ReLU (relu6) | ReLU |
19 | Dropout (drop6) | 50% dropout |
20 | Fully Connected (fc7) | 4096 fully connected layer |
21 | ReLU (relu7) | ReLU |
22 | Dropout (drop7) | Dropout |
23 | Fully Connected (fc8) | 1000 fully connected layer |
24 | Softmax (prob) | Softmax |
25 | Classification Output (output) | crossentropyex with tench and 999 other classes |