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| Index | Similarity Aspect |
|---|---|
| 1 | Using small convolution kernels (
 ) |
| 2 | Using small-kernel max pooling with size of (
 ) |
| 3 | Several repetitions of conv layers followed by max pooling |
| 4 | Fully-connected layers at the end |
| 5 | Size of feature maps shrinks as it goes from input to output |
| 6 | Channel number increase as it goes from input layer to the last conv layer, and then decreases as to output layer. |
