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ISBN-13: 9789811358494, 978-9811358494. Deep Learning with R introduces deep learning and neural networks using the R programming language. The book builds on the understanding of the theoretical and mathematical constructs and enables the reader to create applications on computer vision, natural language processing and transfer learning.
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Author:Jain, Karan. The first three chapters of the book cover the basics of NLP, starting with word-vector representation before moving onto advanced algorithms. This book is a good starting point for people who want to get started in deep learning for NLP.
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ISBN-13: 9780262537551, 978-0262537551. Deep Learning Author(s): John D. Kelleher. Format: Paperback.
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How deep learning—from Google Translate to driverless cars to personal cognitive assistants—is changing our lives and transforming every sector of the economy. The deep learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormous profits from automated trading on the New York Stock Exchange. Deep learning networks can play poker better than professional poker players and defeat a world champion at Go. In this book, Terry Sejnowski explains how deep learning went from being an arcane academic field to a disruptive technology in the information economy.
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Title:-Machine Learning Mathematics: Study Deep Learning Through Data Science. How to Build Artificial Intelligence Through Concepts of Statistics, Algorithms, Analysis and Data Mining Author:-Samuel Hack Format:-Paperback ISBN13:-9781699742150 Language:-English Publisher:-Independently Published Publication Date:-2019 Pages:-108 Pages Category:-Mathematics Textbook Condition:-Brand New
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Grokking Deep Learning teaches you to build deep learning neural networks from scratch! In his engaging style, seasoned deep learning expert Andrew Trask shows you the science under the hood, so you grok for yourself every detail of training neural networks.
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This book is a detailed reference on biomedical applications using Deep Learning. Because Deep Learning is an important actor shaping the future of Artificial Intelligence, its specific and innovative solutions for both medical and biomedical are very critical. This book starts with essentials and moves toward deeper and advanced topics. > This book is a detailed reference on biomedical applications using Deep Learning. Because Deep Learning is an important actor shaping the future of Artificial Intelligence, its specific and innovative solutions for both medical and biomedical are very critical. This book provides a recent view of research works on essential, and advanced topics.
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