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OverviewFull Product DetailsAuthor: Nikhil Ketkar , Jojo MoolayilPublisher: APress Imprint: APress Edition: 2nd ed. Weight: 0.498kg ISBN: 9781484253632ISBN 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 ![]() We will order this item for you from a manufactured on demand supplier. Table of ContentsChapter 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.ReviewsAuthor InformationNikhil 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. Tab Content 6Author Website:Countries AvailableAll regions |