Book Image

TensorFlow 2.0 Quick Start Guide

By : Tony Holdroyd
Book Image

TensorFlow 2.0 Quick Start Guide

By: Tony Holdroyd

Overview of this book

TensorFlow is one of the most popular machine learning frameworks in Python. With this book, you will improve your knowledge of some of the latest TensorFlow features and will be able to perform supervised and unsupervised machine learning and also train neural networks. After giving you an overview of what's new in TensorFlow 2.0 Alpha, the book moves on to setting up your machine learning environment using the TensorFlow library. You will perform popular supervised machine learning tasks using techniques such as linear regression, logistic regression, and clustering. You will get familiar with unsupervised learning for autoencoder applications. The book will also show you how to train effective neural networks using straightforward examples in a variety of different domains. By the end of the book, you will have been exposed to a large variety of machine learning and neural network TensorFlow techniques.
Table of Contents (15 chapters)
Free Chapter
1
Section 1: Introduction to TensorFlow 2.00 Alpha
5
Section 2: Supervised and Unsupervised Learning in TensorFlow 2.00 Alpha
7
Unsupervised Learning Using TensorFlow 2
8
Section 3: Neural Network Applications of TensorFlow 2.00 Alpha
13
Converting from tf1.12 to tf2

An application of RNNs

In this application, we will see how to create text using a character-based recurrent neural network. It is easy to change the corpus of text that to be used (see the example to follow); here, we will use the novel Great Expectations by Charles Dickens. We will train the network on this text so that, if we give it a character sequence such as thousan, it will produce the next character in the sequence, d. This process can be continued, and longer sequences of text created by calling the model repeatedly on the evolving sequence.

Here is an example of the text created before the model is trained:

Input: 
 'o else is there to inform?”\n\n“Is there no chance person who might identify you in the street?” said\n'
Next Char Predictions: 
 "dUFdZ!mig())'(ZIon“4g&HZ”@\nWGWtlinnqQY*dGJ7ioU'6(vLKL&amp...