Deep Learning with Python

A Hands-on Introduction

Nikhil Ketkar

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English

APress
19 April 2017

Program concepts & learning to program; Web programming; Mathematical theory of computation

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 alsointroduces 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.

By: Nikhil Ketkar
Imprint: APress
Country of Publication: United States
Edition: 1st ed.
Dimensions: Height: 254mm, Width: 178mm, Spine: 10mm
Weight: 4.728kg
ISBN: 9781484227657
ISBN 10: 1484227654
Pages: 226
Publication Date: 19 April 2017
Audience: College/higher education , Further / Higher Education
Format: Paperback
Publisher's Status: Active

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.