Recurrent Neural Networks (RNN) or Sequence Models

  • Abhijit GhatakEmail author


In this chapter, we will explore and discuss the basic architecture of sequence models (Recurrent Neural Networks). In particular, we will
  • Build and train sequence models, and a commonly used variant known as Long Short-Term Memory Models (LSTMs).

  • Apply sequence models to Natural Language Processing (NLP) problems, including text synthesis.

This is the last chapter of the book and, the reader is expected to have a very good understanding of neural networks, including convolutional networks.

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.KolkataIndia

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