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Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms

Nikhil Buduma




[PDF.fe42] Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms

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 | #17533 in Books |  Ingramcontent |  2017-06-29 | Original language:English | PDF # 1 |  9.10 x.50 x6.90l,.0 | File type: PDF | 298 pages

 | Fundamentals of Deep Learning Designing Next Generation Machine Intelligence Algorithms

||0 of 0 people found the following review helpful.| Waste of time and money|By Customer|Too deep with many unexplained terms and concepts for the novice, too shallow for who knows already about Deep Learning. Either ways a waste of time and money.|9 of 10 people found the following review helpful.| Solid intro to Deep Learning and an intuitive intro to Tensorflow|By Lincoln JamesAbout 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.&acir

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, d...

You can specify the type of files you want, for your gadget.Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms   |  Nikhil Buduma. Just read it with an open mind because none of us really know.

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