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An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and res
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Type: BOOK - Published: 2020-06-29 - Publisher: O'Reilly Media
Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with
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This book covers both classical and modern models in deep learning. The primary focus is on the theory and algorithms of deep learning. The theory and algorithm
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Pages: 187
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A project-based guide to the basics of deep learning. This concise, project-driven guide to deep learning takes readers through a series of program-writing task