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Via a sequence of current breakthroughs, deep studying has boosted the complete discipline of machine studying. Now, even programmers who know near nothing about this expertise can use easy, environment friendly instruments to implement applications able to studying from knowledge. This sensible ebook reveals you ways.
Through the use of concrete examples, minimal principle, and two production-ready Python frameworks—Scikit-Be taught and TensorFlow—creator Aurélien Géron helps you acquire an intuitive understanding of the ideas and instruments for constructing clever programs. You’ll study a variety of strategies, beginning with easy linear regression and progressing to deep neural networks. With workout routines in every chapter that can assist you apply what you’ve discovered, all you want is programming expertise to get began.
Discover the machine studying panorama, significantly neural netsUse Scikit-Be taught to trace an instance machine-learning challenge end-to-endExplore a number of coaching fashions, together with assist vector machines, determination timber, random forests, and ensemble methodsUse the TensorFlow library to construct and prepare neural netsDive into neural web architectures, together with convolutional nets, recurrent nets, and deep reinforcement learningLearn strategies for coaching and scaling deep neural nets
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Writer : O’Reilly Media
Publication date : Oct. 22 2019
Version : 2nd
Language : English
Print size : 856 pages
ISBN-10 : 1492032646
ISBN-13 : 978-1492032649
Merchandise weight : 1.29 kg
Dimensions : 17.78 x 3.81 x 24.13 cm
Finest Sellers Rank: #205,068 in Books (See Prime 100 in Books) #34 in Laptop Imaginative and prescient & Sample Recognition #86 in A.I. Neural Networks #92 in AI Human Imaginative and prescient & Language Programs
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