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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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Toc

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

Cervical cancer classification

Cervical cancer is cancer that occurs in the cervix. Cervical cancer is easy to counter if caught in its early stages. However, due to lack of expertise in the field, one of the biggest challenges for cervical cancer screening and treatment programs is determining a suitable method of treatment. The treatment workflow would be greatly improved given the ability to make real-time determinations about a patients treatment eligibility based on cervix type.

Getting ready

In this recipe, we develop a modeling pipeline that tries to identify a woman's cervix type based on images with greater accuracy. The modeling pipeline uses a CNN models written using the Keras functional API for image classification...

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