Deep Learning with Python: Learn Best Practices of Deep Learning Models with PyTorch

Author:   Nikhil Ketkar ,  Jojo Moolayil
Publisher:   APress
Edition:   2nd ed.
ISBN:  

9781484253632


Pages:   306
Publication Date:   10 April 2021
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Deep Learning with Python: Learn Best Practices of Deep Learning Models with PyTorch


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Author:   Nikhil Ketkar ,  Jojo Moolayil
Publisher:   APress
Imprint:   APress
Edition:   2nd ed.
Weight:   0.498kg
ISBN:  

9781484253632


ISBN 10:   1484253639
Pages:   306
Publication Date:   10 April 2021
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Chapter 1 – Introduction Deep Learning.- Chapter 2 – Introduction to PyTorch.- Chapter 3- Feed Forward Networks.- Chapter 4 – Automatic Differentiation in Deep Learning.- Chapter 5 – Training Deep Neural Networks.- Chapter 6 – Convolutional Neural Networks.- Chapter 7 – Recurrent Neural Networks.- Chapter 8 – Recent advances in Deep Learning.    

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Author Information

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. Jojo Moolayil is an artificial intelligence, deep learning, machine learning, and decision science professional with over five years of industrial experience and is a published author of the book Smarter Decisions – The Intersection of IoT and Decision Science. He has worked with several industry leaders on high-impact and critical data science and machine learning projects across multiple verticals. He is currently associated with Amazon Web Services as a research scientist. He was born and raised in Pune, India and graduated from the University of Pune with a major in Information Technology Engineering. He started his career with Mu Sigma Inc., the world’s largest pure-play analytics provider and worked with the leaders of many Fortune 50 clients. He later worked with Flutura – an IoT analytics startup and GE. He currently resides in Vancouver, BC. Apart from writing books on decision science and IoT, Jojo has also been a technical reviewer for various books on machine learning, deep learning and business analytics with Apress and Packt publications. He is an active data science tutor and maintains a blog at http://blog.jojomoolayil.com.        

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