PyTorch Experiments on NLP and RNN

In this chapter, we are going to deep dive into the PyTorch library on natural language processing (NLP) and other experiments. Then, we will convert the developed model into a format that can be used in an Android or iOS application using TensorFlow and CoreML.

In this chapter, we will cover the following topics:

  • Introduction to PyTorch features and installation
  • Using variables in PyTorch
  • Building our own model network
  • Classifying recurrent neural networks (RNN)
  • Natural language processing
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