Hands-On Machine Finding out with Scikit-Study and TensorFlow (b00k- PDF)📥

Hands-On Machine Finding out with Scikit-Study and TensorFlow (b00k- PDF)📥

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Item specifics

Situation:

Love Contemporary: A e book that looks new however has been read. Duvet has no viewed salvage on, and the mud jacket (if
Structure: Paperback
Language: English Newsletter Year: 2017
ISBN:

9781491962299

About this product

Product Info
Thru a series of most up-to-date breakthroughs, deep discovering out has boosted your total field of machine discovering out. Now, even programmers who know shut to nothing about this skills can use easy, surroundings generous instruments to put into effect suggestions able to discovering out from files. This radiant e book reveals you how. By using concrete examples, minimal theory, and two manufacturing-ready Python frameworksScikit-Study and TensorFlowauthor Aurlien Gron helps you gain an intuitive opinion of the ideas and instruments for constructing shining systems. You are going to be taught a unfold of how, starting with easy linear regression and progressing to deep neural networks. With exercises in every chapter to can allow you to seem at what you gain realized, all you wish is programming skills to gain started. Detect the machine discovering out panorama, in particular neural nets Use Scikit-Study to track an example machine-discovering out mission cease-to-cease Detect several coaching devices, including enhance vector machines, determination trees, random forests, and ensemble systems Use the TensorFlow library to construct and declare neural nets Dive into neural obtain architectures, including convolutional nets, recurrent nets, and deep reinforcement discovering out Study ways for coaching and scaling deep neural nets Note radiant code examples with out purchasing outrageous machine discovering out theory or algorithm small print

Product Identifiers
Author O’Reilly
ISBN-10 1491962291
ISBN-13 9781491962299
eBay Product ID (ePID) 227662629

Product Key Facets
Structure Paperback
Newsletter Year 2017
Language English

Dimensions
Weight 33.5 Oz19459027]
Width 7.1in.
Height 1.2in.
Length 9.2in.

Additional Product Facets
Dewey Edition 23
Illustrated High-tail
Dewey Decimal 006.31
Copyright Date 2017
Author Aurélien Géron
Series of Pages 574
Lc Classification Number Q325.5
Newsletter Date 2017-04-09

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