Tag: $31.05
Situation: |
Tag Modern: A brand current, unread, unused guide in very finest situation without a lacking or broken pages. Look the vendor’s |
Structure: | Hardcover |
Language: | English | Publication Year: | 2016 |
ISBN: |
9780262035613 |
EAN: |
9780262035613 |
Product Info | |
“Written by three experts within the field, Deep Studying is largely the most efficient comprehensive guide on the field.” — Elon Musk , cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep studying is a invent of machine studying that allows computer methods to learn from skills and perceive the enviornment with regards to a hierarchy of ideas. On narrative of the computer gathers data from skills, there is no longer any need for a human computer operator to formally specify the total data that the computer wants. The hierarchy of ideas permits the computer to learn complicated ideas by constructing them out of less complicated ones; a graph of these hierarchies shall be many layers deep. This guide introduces a mammoth differ of subject issues in deep studying. The text offers mathematical and conceptual background, maintaining relevant ideas in linear algebra, chance thought and data thought, numerical computation, and machine studying. It describes deep studying methods dilapidated by practitioners in trade, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, on-line recommendation methods, bioinformatics, and videogames. Eventually, the guide offers examine perspectives, maintaining such theoretical subject issues as linear aspect fashions, autoencoders, representation studying, structured probabilistic fashions, Monte Carlo ideas, the partition characteristic, approximate inference, and deep generative fashions. Deep Studying might maybe even be dilapidated by undergraduate or graduate college students planning careers in either trade or examine, and by utility engineers who wish to start out utilizing deep studying in their merchandise or platforms. A website online offers supplementary field cloth for both readers and instructors. | |
Product Identifiers | |
Publisher | The MIT Press |
ISBN-10 | 0262035618 |
ISBN-13 | 9780262035613 |
eBay Product ID (ePID) | 228981524 |
Product Key Functions | |
Structure | Hardcover |
Publication Year | 2016 |
Language | English |
Dimensions | |
Weight | forty five.1 Oz.19459027] |
Width | 7in. |
High | 1in. |
Length | 9in. |
Additional Product Functions | |
Dewey Model | 23 |
Illustrated | Yes |
Dewey Decimal | 006.3/1 |
Sequence | Adaptive Computation and Machine Studying |
Age Differ | 18 |
Copyright Date | 2016 |
Author | Aaron Courville, Ian Goodfellow, Yoshua Bengio |
Selection of Pages | 800 Pages |
Lc Classification Quantity | Q325.5.G66 2017 |
Publication Date | 2016-11-18 |
Reports | [T]he AI bible… the text ought to restful be fundamental reading by all data scientists and machine studying practitioners to derive a vivid foothold on this without warning rising home of subsequent-gen skills. |
Lccn | 2016-022992 |
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