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Keras Deep Learning Cookbook

You're reading from   Keras Deep Learning Cookbook Over 30 recipes for implementing deep neural networks in Python

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Product type Paperback
Published in Oct 2018
Publisher Packt
ISBN-13 9781788621755
Length 252 pages
Edition 1st Edition
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Authors (3):
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Sujit Pal Sujit Pal
Author Profile Icon Sujit Pal
Sujit Pal
Manpreet Singh Ghotra Manpreet Singh Ghotra
Author Profile Icon Manpreet Singh Ghotra
Manpreet Singh Ghotra
Rajdeep Dua Rajdeep Dua
Author Profile Icon Rajdeep Dua
Rajdeep Dua
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Table of Contents (12) Chapters Close

Preface 1. Keras Installation FREE CHAPTER 2. Working with Keras Datasets and Models 3. Data Preprocessing, Optimization, and Visualization 4. Classification Using Different Keras Layers 5. Implementing Convolutional Neural Networks 6. Generative Adversarial Networks 7. Recurrent Neural Networks 8. Natural Language Processing Using Keras Models 9. Text Summarization Using Keras Models 10. Reinforcement Learning 11. Other Books You May Enjoy

Models in Keras – getting started

Let's look at creating a basic model in Keras.

Anatomy of a model

Model is a subclass of NetworkThe Model class adds training and evaluation routines to a Network. The following diagram shows the relationship between the various classes.

A network is not a class that developers use directly, so some info in this section is for your information only.

Types of models

There are two types of models in Keras:

  • Sequential models
  • Models created using functional APIs
...
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