网络环境:ubuntu系统下,python3.4以上,tensorflow1.12.0以上.需要自己训练 * Random split 50k training set into 45k/5k train/eval split. * Pad to 36x36 and random crop. Horizontal flip. Per-image whitening. * Momentum optimizer 0.9. * Learning rate schedule: 0.1 (40k), 0.01 (60k), 0.001 (>60k). * L2 weight decay: 0.002. * Batch size: 128. (28-10 wide and 1001 layer bottleneck use 64)