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)

What are we building?

The focus of this chapter is to walk you through building a simple conversational chatbot that is able to give answers to a set of different questions. Recently, chatbots have become more and more popular, and we can see them in numerous practical applications.

Some areas where you can see the use of this software include the following:

  • Communication between clients and businesses, where the chatbot assists users in finding what they need, or provides support if something does not work properly. For example, Facebook offers a really handy way of implementing a chatbot for your business
  • The personal assistant behind voice control systems such as Amazon Alexa, Apple Siri, and more: You have a full end-to-end human-like conversation where you can set reminders, order products, and more

Our simple example will present a slightly augmented version of the...