《动手学深度学习》中代码采用mxnet/tensorflow/pytorch/paddlepaddle框架来实现,有助于理解在不同深度学习框架写模型的差异,并把模型工程化.(The combination of multiple deep learning frameworks helps to understand the differences of writing models in different deep learning frameworks.)