Book Image

Recurrent Neural Networks with Python Quick Start Guide

By : Simeon Kostadinov
Book Image

Recurrent Neural Networks with Python Quick Start Guide

By: Simeon Kostadinov

Overview of this book

Developers struggle to find an easy-to-follow learning resource for implementing Recurrent Neural Network (RNN) models. RNNs are the state-of-the-art model in deep learning for dealing with sequential data. From language translation to generating captions for an image, RNNs are used to continuously improve results. This book will teach you the fundamentals of RNNs, with example applications in Python and the TensorFlow library. The examples are accompanied by the right combination of theoretical knowledge and real-world implementations of concepts to build a solid foundation of neural network modeling. Your journey starts with the simplest RNN model, where you can grasp the fundamentals. The book then builds on this by proposing more advanced and complex algorithms. We use them to explain how a typical state-of-the-art RNN model works. From generating text to building a language translator, we show how some of today's most powerful AI applications work under the hood. After reading the book, you will be confident with the fundamentals of RNNs, and be ready to pursue further study, along with developing skills in this exciting field.
Table of Contents (8 chapters)

Creating a Spanish-to-English Translator

This chapter will push your neural network knowledge even further by introducing state-of-the-art concepts at the core of today's most powerful language translation systems. You will build a simple version of a Spanish-to-English translator, which accepts a sentence in Spanish and outputs its English equivalent.

This chapter includes the following sections:

  • Understanding the translation model: This section is entirely focused on the theory behind this system.
  • What an LSTM network is: We'll be understanding what sits behind this advanced version of recurrent neural networks.
  • Understanding sequence-to-sequence network with attention: You will grasp the theory behind this powerful model, get to know what it actually does, and why it is so widely used for different problems.
  • Building the Spanish-to-English translator: This section...