python train.py --data <data_path> --lr <learning_rate> --epoch <epoch>
使用MobileNetV1网络进行分类训练，采用Adam优化器，训练50Epoch。
lr = 0.1
lr = 0.01
lr = 0.001
lr=0.1为红色，lr=0.01为橙色，lr=0.001为蓝色
上面为不同学习率训练时的loss下降图，可以看出当学习率为0.01时loss下降最快并且下降为最低，并且经过测试，当学习率为0.01时训练出的模型精度最高，为88.8%。所以学习率这个超参选择为0.01较好。
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