[Read now] Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms






 | #17280 in Books |  Ingramcontent |  2017-06-29 | Original language:English | PDF # 1 |  9.10 x.50 x6.90l,.0 | File Name: 1491925612 | 298 pages

 | Fundamentals of Deep Learning Designing Next Generation Machine Intelligence Algorithms


||0 of 0 people found the following review helpful.| Must Read For Engineering Managers|By Joe|As an executive managing teams deploying deep learning in various ways, I need to stay up to date on effective implementation strategies. This book has been an invaluable resource for me in our recent machine learning projects. Having read this book, I gained situational awareness, and respect for nuance in deploying a deep learning ap|About the Author|
|Nikhil Buduma is a computer science student at MIT with deep interests in machine learning and the biomedical sciences. He is a two time gold medalist at the International Biology Olympiad, a student researcher, and a â??hacker.&aci

With the reinvigoration of neural networks in the 2000s, deep learning has become an extremely active area of research, one that’s paving the way for modern machine learning. In this practical book, author Nikhil Buduma provides examples and clear explanations to guide you through major concepts of this complicated field.

Companies such as Google, Microsoft, and Facebook are actively growing in-house deep-learning teams. For the rest of us, however, ...


[PDF.tc75]  Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms
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