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ISBN-13: 9780137470358, 978-0137470358. NVIDIA's Full-Color Guide to Deep Learning: All You Need to Get Started and Get Results "To enable everyone to be part of this historic revolution requires the democratization of AI knowledge and resources.
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The product is a textbook titled "Deep Learning" authored by Yoshua Bengio, Ian Goodfellow, and Aaron Courville, published by MIT Press in 2016. It falls under the subject areas of Computers and Software Development, focusing on Computer Science and Intelligence (AI) & Semantics. The book is part of the "Adaptive Computation and Machine Learning Ser." series and is designed for individuals at different educational levels, including High School and Adult & Further Education. Additionally, the book is illustrated and the first edition, measuring 8.9 inches in length and 6.9 inches in width.
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Author: John D. Kelleher. Series: MIT Press Essential Knowledge series. Publisher: MIT Press. Title: Deep Learning. Country/Region of Manufacture: US. Format: Paperback. Type: Paperback. Missing Information?.
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Generative deep learning Second Edition 2023 In nice used condition Used for studying so a couple of marks where it has been in my bag
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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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The application of deep learning methods to problems in natural language processing has generated significant progress across a wide range of natural language processing tasks. For some of these applications, deep learning models now approach or surpass human performance. While the success of this approach has transformed the engineering methods of machine learning in artificial intelligence, the significance of these achievements for the modelling of human learning and representation remains unclear.
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The book is structured around a series of practical examples that introduce each new concept and demonstrate best practices. You'll begin by learning what deep learning is, how it connects with AI and Machine Learning, and why it's rapidly gaining in importance right now.
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