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)

Building Your First RNN with TensorFlow

In this chapter, you will gain a hands-on experience of building a recurrent neural network (RNN). First, you will be introduced to the most widely used machine learning library—TensorFlow. From learning the basics to advancing into some fundamental techniques, you will obtain a reasonable understanding of how to apply this powerful library to your applications. Then, you will take on a fairly simple task of building an actual model. The process will show you how to prepare your data, train the network, and make predictions.

In summary, the topics of this chapter include the following:

  • What are you going to build?: Introduction of your task
  • Introduction to TensorFlow: Taking first steps into learning the TensorFlow framework
  • Coding the RNN: You will go through the process of writing your first neural network using TensorFlow. This...