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Recurrent Neural Networks with Python Quick Start Guide

Recurrent Neural Networks with Python Quick Start Guide

By : Simeon Kostadinov
3 (4)
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Recurrent Neural Networks with Python Quick Start Guide

Recurrent Neural Networks with Python Quick Start Guide

3 (4)
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)
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Summary

In this chapter, we introduce the recurrent neural network model using theoretical explanations together with a particular example. The aim is to grasp the fundamentals of this powerful system so you can understand the programming exercises better. Overall, the chapter included the following:

  • A brief introduction to RNNs
  • The difference between RNNs and other popular models
  • Illustrating the use of RNNs through an example
  • The main problems with a standard RNN

In the next chapter, we will go over our first practical exercise using recurrent neural networks. You will get to know the popular TensorFlow library, which makes it easy to build machine learning models. The next section will give you a nice first hands-on experience and prepare you for solving more difficult problems.

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Recurrent Neural Networks with Python Quick Start Guide
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