Published by World Scientific in 2023, this hardcover textbook is a must-read for advanced technical learners.
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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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Deep Learning is now synonymous with applied machine learning. Provides extensive references at the end of each chapter to enhance further study. > Introduction to Deep Learning. Fast Deep Learning Architechtures.
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With Math for Deep Learning, you'll learn the essential mathematics used by and as a background for deep learning. You'll also use Python to work through the mathematics that underlies those algorithms and even build a fully-functional neural network.
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Fast & Friendly.
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Its applications range from applicable data science to deep fakes and so much more. It is crucial for aspiring data scientists or those who want to enter the field of AI to understand deep learning concepts.
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You'll learn how to use key deep learning algorithms without the need for complex math. Deep Learning: A Visual Approach is for anyone who wants to understand this fascinating field in depth, but without any of the advanced math and programming usually required to grasp its internals.
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