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1: PyTorch

1> Introduction to PyTorch

PyTorch is an open source Python machine learning library based on Torch for applications such as natural language processing. It is a Python-based continuable computing package that provides two advanced features: 1. Tensor computing with powerful GPU acceleration (such as NumPy); 2. Deep neural networks with automatic differentiation systems.

2> The role of pytorch

PyTorch is an open source Python machine learning library based on Torch for applications such as natural language processing;

Many open source frameworks (such as TensorFlow, Caffe2, CNTK, and Theano) use static computational graphs, while PyTorch uses dynamic computational graphs. In static computational graphs, the network model must be defined first, then run, once defined and run multiple times. Dynamic computational graphs can be defined on the fly, built at runtime, built multiple times and run;

3> Advantages of PyTorch

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