Deep Learning with Python

A Hands-on Introduction

Authors: Ketkar, Nihkil

  • Focus on taking deep learning models to production.
  • Practical and hands-on approach.
  • Covers popular Python frameworks.
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Buy this book

eBook $34.99
price for USA (gross)
  • ISBN 978-1-4842-2766-4
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $45.99
price for USA
  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • Due: May 17, 2017
  • ISBN 978-1-4842-2765-7
  • Free shipping for individuals worldwide
About this book

Discover the practical aspects of implementing deep-learning solutions using the rich Python ecosystem. This book bridges the gap between the academic state-of-the-art and the industry state-of-the-practice by introducing you to deep learning frameworks such as Keras, Theano, and Caffe. The practicalities of these frameworks is often acquired by practitioners by reading source code, manuals, and posting questions on community forums, which tends to be a slow and a painful process. Deep Learning with Python allows you to ramp up to such practical know-how in a short period of time and focus more on the domain, models, and algorithms.
This book briefly covers the mathematical prerequisites and fundamentals of deep learning, making this book a good starting point for software developers who want to get started in deep learning. A brief survey of deep learning architectures is also included.
Deep Learning with Python also introduces you to key concepts of automatic differentiation and GPU computation which, while not central to deep learning, are critical when it comes to conducting large scale experiments. 
What You Will Learn 

  • Leverage deep learning frameworks in Python namely, Keras, Theano, and Caffe 
  • Gain the fundamentals of deep learning with mathematical prerequisites 
  • Discover the practical considerations of large scale experiments 
  • Take deep learning models to production
Who This Book Is For
Software developers who want to try out deep learning as a practical solution to a particular problem. Software developers in a data science team who want to take deep learning models developed by data scientists to production.

About the authors

Nikhil S. Ketkar currently leads the Machine Learning Platform team at Flipkart, India’s largest e-commerce company. He received his Ph.D. from Washington State University. Following that he conducted postdoctoral research at University of North Carolina at Charlotte, which was followed by a brief stint in high frequency trading at Transmaket in Chicago. More recently he led the data mining team in Guavus, a startup doing big data analytics in the telecom domain and Indix, a startup doing data science in the e-commerce domain. His research interests include machine learning and graph theory.

Table of contents (10 chapters)

Buy this book

eBook $34.99
price for USA (gross)
  • ISBN 978-1-4842-2766-4
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $45.99
price for USA
  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • Due: May 17, 2017
  • ISBN 978-1-4842-2765-7
  • Free shipping for individuals worldwide

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Bibliographic Information

Bibliographic Information
Book Title
Deep Learning with Python
Book Subtitle
A Hands-on Introduction
Authors
Copyright
2017
Publisher
Apress
Copyright Holder
Nikhil Ketkar
eBook ISBN
978-1-4842-2766-4
DOI
10.1007/978-1-4842-2766-4
Softcover ISBN
978-1-4842-2765-7
Edition Number
1
Number of Pages
XV, 160
Number of Illustrations and Tables
28 b/w illustrations, 65 illustrations in colour
Topics