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Deep Learning with Python: A Hands-On Introduction

Deep Learning with Python: A Hands-On Introduction cover

Deep Learning with Python: A Hands-On Introduction

$ 69.99
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Chapter 1: An intuitive look at the fundamentals of deep learning based on practical applicationsChapter 2: A survey of the current state-of-the-art implementations of libraries, tools and packages for deep learning and the case for the Python ecosystemChapter 3: A detailed look at Keras 1], which is a high level framework for deep learning suitable for beginners to understand and experiment with deep learningChapter 4: A detailed look at Theano 2], which is a low level framework for implementing architectures and algorithms in deep learning from scratchChapter 5: A detailed look at Caffe 3], which is highly optimized framework for implementing some of the most popular deep learning architectures (mainly computer vision)Chapter 6: A brief introduction to GPUs and why they are a game changer for Deep LearningChapter 7: A brief introduction to Automatic DifferentiationChapter 8: A brief introduction to Backpropagation and Stochastic Gradient DescentChapter 9: A survey of Deep Learning ArchitecturesChapter 10: Advice on running large scale experiments in deep learning and taking models to productionChapter 11: Introduction to TensorflowChapter 12: Introduction to PyTorchChapter 13: Regularization TechniquesChapter 14: Training Deep Leaning Models

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.

ISBN: 9781484227657

ISBN-10: 9781484227657

Publisher: Apress

Publication Date: 04/19/2017 - 12:00am

On Sale: 04/19/2017 - 12:00am

Pages: 226

Language: English

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Computer Science

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