Worth: $131.00
(as of Aug 26, 2025 09:25:34 UTC – Particulars)
“Written by three specialists within the subject, Deep Studying is the one complete e-book on the topic.” — Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX
Deep studying is a type of machine studying that permits computer systems to be taught from expertise and perceive the world by way of a hierarchy of ideas. As a result of the pc gathers data from expertise, there is no such thing as a want for a human laptop operator to formally specify all of the data that the pc wants. The hierarchy of ideas permits the pc to be taught sophisticated ideas by constructing them out of easier ones; a graph of those hierarchies can be many layers deep. This e-book introduces a broad vary of matters in deep studying.
The textual content affords mathematical and conceptual background, protecting related ideas in linear algebra, chance principle and data principle, numerical computation, and machine studying. It describes deep studying strategies utilized by practitioners in trade, together with deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and sensible methodology; and it surveys such purposes as pure language processing, speech recognition, laptop imaginative and prescient, on-line advice programs, bioinformatics, and videogames. Lastly, the e-book affords analysis views, protecting such theoretical matters as linear issue fashions, autoencoders, illustration studying, structured probabilistic fashions, Monte Carlo strategies, the partition operate, approximate inference, and deep generative fashions.
Deep Studying can be utilized by undergraduate or graduate college students planning careers in both trade or analysis, and by software program engineers who wish to start utilizing deep studying of their merchandise or platforms. An internet site affords supplementary materials for each readers and instructors.
Writer : The MIT Press
Publication date : Nov. 18 2016
Language : English
Print size : 800 pages
ISBN-10 : 0262035618
ISBN-13 : 978-0262035613
Merchandise weight : 1.33 kg
Dimensions : 23.11 x 18.29 x 2.79 cm
Grade degree : 12 and up
Finest Sellers Rank: #8,464 in Books (See High 100 in Books) #5 in Laptop Science Textbooks #6 in Synthetic Intelligence Textbooks #11 in AI Machine Studying
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