Grokking Deep Learning - Trask, Andrew W
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Key Features:â Build neural networks that can see and understand imagesâ Build an A.I. that will learn to defeat you in a classic Atari gameâ Hands-on Learning Written for readers with high school-level math and intermediateprogramming skills. Experience with Calculus is helpful but notrequired.

Produktbeschreibung
Key Features:â Build neural networks that can see and understand imagesâ Build an A.I. that will learn to defeat you in a classic Atari gameâ Hands-on Learning Written for readers with high school-level math and intermediateprogramming skills. Experience with Calculus is helpful but notrequired.
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Autorenporträt
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 world's 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.