Description: FREE SHIPPING UK WIDE Grokking Deep Learning by Andrew W. Trask Key Features:• Build neural networks that can see and understand images• Build an A.I. that will learn to defeat you in a classic Atari game• Hands-on Learning Written for readers with high school-level math and intermediateprogramming skills. Experience with Calculus is helpful but notrequired. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description Artificial Intelligence is the most exciting technology of the century, and Deep Learning is, quite literally, the "brain" behind the worlds smartest Artificial Intelligence systems out there. Grokking Deep Learning is the perfect place to begin the deep learning journey. Rather than just learning the "black box" API of some library or framework, readers will actually understand how to build these algorithms completely from scratch. Key Features:Build neural networks that can see and understand images Build an A.I. that will learn to defeat you in a classic Atari gameHands-on Learning Written for readers with high school-level math and intermediateprogramming skills. Experience with Calculus is helpful but notrequired. ABOUT THE TECHNOLOGY Deep Learning is a subset of Machine Learning, which is a field dedicated to the study and development of machines that can learn, often with the goal of eventually attaining general artificial intelligence. Author Biography Andrew Trask is a PhD student at Oxford University, funded by the Oxford- DeepMind Graduate Scholarship, where he researches Deep Learning approaches with special emphasis on human language. Previously, Andrew was a researcher and analytics product manager at Digital Reasoning where he trained the worlds largest artificial neural network with over 160 billion parameters, and helped guide the analytics roadmap for the Synthesys cognitive computing platform which tackles some of the most complex analysis tasks across government intelligence, finance, and healthcare industries. Long Description Artificial Intelligence is the most exciting technology of the century, and Deep Learning is, quite literally, the "brain" behind the worlds smartest Artificial Intelligence systems out there. Grokking Deep Learning is the perfect place to begin the deep learning journey. Rather than just learning the "black box" API of some library or framework, readers will actually understand how to build these algorithms completely from scratch. Key Features: Build neural networks that can see and understand images Build an A.I. that will learn to defeat you in a classic Atari gameHands-on Learning Written for readers with high school-level math and intermediateprogramming skills. Experience with Calculus is helpful but notrequired. ABOUT THE TECHNOLOGY Deep Learning is a subset of Machine Learning, which is a field dedicated to the study and development of machines that can learn, often with the goal of eventually attaining general artificial intelligence. Details ISBN1617293709 Author Andrew W. Trask ISBN-10 1617293709 ISBN-13 9781617293702 Media Book Publisher Manning Publications Format Paperback Pages 336 Year 2019 Language English DEWEY 006.31 Imprint Manning Publications Place of Publication New York Country of Publication United States AU Release Date 2019-05-15 NZ Release Date 2019-05-15 UK Release Date 2019-05-15 Audience Professional & Vocational Publication Date 2019-05-22 US Release Date 2019-05-22 We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! 30 DAY RETURN POLICY No questions asked, 30 day returns! FREE DELIVERY No matter where you are in the UK, delivery is free. SECURE PAYMENT Peace of mind by paying through PayPal and eBay Buyer Protection TheNile_Item_ID:123764323;
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ISBN-13: 9781617293702
Book Title: Grokking Deep Learning
Item Height: 228mm
Item Width: 185mm
Author: Andrew W Trask
Publication Name: Grokking Deep Learning
Format: Paperback
Language: English
Publisher: Manning
Subject: Computer Science
Publication Year: 2019
Type: Textbook
Item Weight: 600g
Number of Pages: 336 Pages