| Layer Name | Type | Description |
| “input” | Image Input | 224 × 224 × 3 images with “zerocenter” normalization |
| “conv1_1” | Convolution | 64 3 × 3 × 3 convolutions with stride [1 1] and padding [1 1] |
| “conv1_2” | Convolution | 64 3 × 3 × 64 convolutions with stride [1 1] and padding [1 1] |
| “pool1” | Max Pooling | 2 × 2 max pooling with stride [2 2] and padding [0 0] |
| “conv2_1” | Convolution | 128 3 × 3 × 64 convolutions with stride [1 1] and padding [1 1] |
| “conv2_2” | Convolution | 128 3 × 3 × 128 convolutions with stride [1 1] and padding [1 1] |
| “pool2” | Max Pooling | 2 × 2 max pooling with stride [2 2] and padding [0 0] |
| “conv3_1” | Convolution | 256 3 × 3 × 128 convolutions with stride [1 1] and padding [1 1] |
| “conv3_2” | Convolution | 256 3 × 3 × 256 convolutions with stride [1 1] and padding [1 1] |
| “conv3_3” | Convolution | 256 3 × 3 × 256 convolutions with stride [1 1] and padding [1 1] |
| “conv3_4” | Convolution | 256 3 × 3 × 256 convolutions with stride [1 1] and padding [1 1] |
| “pool3” | Max Pooling | 2 × 2 max pooling with stride [2 2] and padding [0 0] |
| “conv4_1” | Convolution | 512 3 × 3 × 256 convolutions with stride [1 1] and padding [1 1] |
| “conv4_2” | Convolution | 512 3 × 3 × 512 convolutions with stride [1 1] and padding [1 1] |
| “conv4_3” | Convolution | 512 3 × 3 × 512 convolutions with stride [1 1] and padding [1 1] |
| “conv4_4” | Convolution | 512 3 × 3 × 512 convolutions with stride [1 1] and padding [1 1] |
| “pool4” | Max Pooling | 2 × 2 max pooling with stride [2 2] and padding [0 0] |
| “conv5_1” | Convolution | 512 3 × 3 × 512 convolutions with stride [1 1] and padding [1 1] |
| “conv5_2” | Convolution | 512 3 × 3 × 512 convolutions with stride [1 1] and padding [1 1] |
| “conv5_3” | Convolution | 512 3 × 3 × 512 convolutions with stride [1 1] and padding [1 1] |
| “conv5_4” | Convolution | 512 3 × 3 × 512 convolutions with stride [1 1] and padding [1 1] |
| “pool5” | Max Pooling | 2 × 2 max pooling with stride [2 2] and padding [0 0] |
| “fc6” | Fully Connected | 4096 fully connected layer |
| “drop6” | Dropout | 50% dropout |
| “fc7” | Fully Connected | 4096 fully connected layer |
| “drop7” | Dropout | 50% dropout |
| “fc8” | Fully Connected | 1000 fully connected layer |
| “prob” | softmax | softmax |
| “output” | Classification Output | crossentropyex with “tench”, “goldfish”, and 998 other classes |