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Deep Learning with Python: A Hands-on Introduction by Nikhil Ketkar

By Nikhil Ketkar

Discover the sensible facets of enforcing deep-learning ideas utilizing the wealthy Python surroundings. This publication bridges the space among the educational cutting-edge and the state-of-the-practice via introducing you to deep studying frameworks resembling Keras, Theano, and Caffe. The practicalities of those frameworks is usually got through practitioners by way of interpreting resource code, manuals, and posting questions about group boards, which has a tendency to be a sluggish and a painful strategy. Deep studying with Python allows you to ramp as much as such useful information in a brief time period and concentration extra at the area, types, and algorithms.
This ebook in brief covers the mathematical necessities and basics of deep studying, making this ebook a superb place to begin for software program builders who are looking to start in deep studying. a short survey of deep studying architectures is additionally included.
Deep studying with Python additionally introduces you to key ideas of computerized differentiation and GPU computation which, whereas no longer significant to deep studying, are serious by way of accomplishing huge scale experiments. 
What you are going to Learn 
  • Leverage deep studying frameworks in Python specifically, Keras, Theano, and Caffe 
  • Gain the basics of deep studying with mathematical prerequisites 
  • Discover the sensible concerns of enormous scale experiments 
  • Take deep studying versions to production
Who This booklet Is For

Software builders who are looking to attempt deep studying as a pragmatic approach to a selected problem. Software builders in a knowledge technological know-how crew who are looking to take deep studying versions constructed through facts scientists to production.

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Deep Learning with Python: A Hands-on Introduction

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