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Deep Learning Python Hands on by Ketkar Nikhil (13 results)
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Paperback or Softback. Condition: New. Deep Learning with Python: A Hands-On Introduction 0.71. Book.
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Add to basketCondition: New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books!
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Deep Learning with Python: A Hands-on Introduction
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Deep Learning With Python : A Hands-on Introduction
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Deep Learning With Python : A Hands-on Introduction
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Deep Learning with Python: A Hands-on Introduction
Published by Apress, Incorporated, 2017
ISBN 10: 1484227654 ISBN 13: 9781484227657
Language: English
Condition: New. pp. 160.
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Deep Learning with Python: A Hands-on Introduction
Published by Apress, Incorporated, 2017
ISBN 10: 1484227654 ISBN 13: 9781484227657
Language: English
US$ 114.05
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Deep Learning with Python: A Hands-on Introduction
Published by Apress, Incorporated, 2017
ISBN 10: 1484227654 ISBN 13: 9781484227657
Language: English
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 LearnLeverage deep learning frameworks in Python namely, Keras, Theano, and CaffeGain the fundamentals of deep learning with mathematical prerequisitesDiscover the practical considerations of large scale experimentsTake deep learning models to productionWho This Book Is ForSoftware 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.
