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Deep Learning with Python

Author: Francois Chollet

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MRP: MRP: $47.02
Net Price: $39.96
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Leadtime to ship in days (default): Usually Ships in 25 days
9781617294433
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Description

Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this book builds your understanding through intuitive explanations and practical examples.

About the technology

Machine learning has made remarkable progress in recent years. We went from near-unusable speech and image recognition, to near-human accuracy. We went from machines that couldn't beat a serious Go player, to defeating a world champion. Behind this progress is deep learning—a combination of engineering advances, best practices, and theory that enables a wealth of previously impossible smart applications.

About the book

Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this book builds your understanding through intuitive explanations and practical examples. You'll explore challenging concepts and practice with applications in computer vision, natural-language processing, and generative models. By the time you finish, you'll have the knowledge and hands-on skills to apply deep learning in your own projects.

What's inside

  • Deep learning from first principles
  • Setting up your own deep-learning environment
  • Image-classification models
  • Deep learning for text and sequences
  • Neural style transfer, text generation, and image generation

About the reader

Readers need intermediate Python skills. No previous experience with Keras, TensorFlow, or machine learning is required.

TABLE OF CONTENTS

PART 1 - FUNDAMENTALS OF DEEP LEARNING

PART 2 - DEEP LEARNING IN PRACTICE

  1. What is deep learning?
  2. Before we begin: the mathematical building blocks of neural networks
  3. Getting started with neural networks
  4. Fundamentals of machine learning
  5. Deep learning for computer vision
  6. Deep learning for text and sequences
  7. Advanced deep-learning best practices
  8. Generative deep learning
  9. Conclusions
  10. appendix A - Installing Keras and its dependencies on Ubuntu
  11. appendix B - Running Jupyter notebooks on an EC2 GPU instance
 

Features

Author:
Francois Chollet
Binding:
Paperback
Condition Type:
New
Country Origin:
USA
Edition :
1
Leadtime to ship in days (default):
Usually Ships in 25 days
Page:
361
Publisher:
Manning Publications
Year:
2017

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