Value: $42.98
| Condition: |
Trace Current: A brand original, unread, unused e book in very finest condition with no lacking or broken pages. Stumble on the vendor’s |
Layout: | Hardcover |
| Topic: | Adaptation, Certification, Computers, Computing | E-newsletter Year: | 2016 |
| Assortment: | Adaptive Computation and Machine Learning series | Language: | English |
| Form: | Manual | Topic: | Computing Adaptation |
| Author: | The MIT Press | Nation/Voice of Fabricate: | United States |
| Particular Attributes: | Revised Version | ISBN: |
9780262035613 |
| Product Files | |
| “Written by three consultants in the sphere, Deep Learning is the finest entire e book on the subject.” — Elon Musk , cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep studying is a invent of machine studying that allows computer systems to be taught from expertise and understand the arena when it involves a hierarchy of ideas. Since the computer gathers records from expertise, there may be no need for a human computer operator to formally specify the entire records that the computer wants. The hierarchy of ideas permits the computer to be taught complex ideas by building them out of more fair correct ones; a graph of these hierarchies would be many layers deep. This e book introduces a substantial vary of issues in deep studying. The text provides mathematical and conceptual background, maintaining related ideas in linear algebra, probability view and records view, numerical computation, and machine studying. It describes deep studying ways weak by practitioners in enterprise, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and fair correct methodology; and it surveys such applications as natural language processing, speech recognition, computer imaginative and prescient, on-line advice systems, bioinformatics, and videogames. Come what may, the e book provides be taught views, maintaining such theoretical issues as linear part devices, autoencoders, representation studying, structured probabilistic devices, Monte Carlo solutions, the partition feature, approximate inference, and deep generative devices. Deep Learning may presumably well presumably additionally additionally be weak by undergraduate or graduate college students planning careers in both enterprise or be taught, and by instrument engineers who are fervent to initiate the utilization of deep studying in their products or platforms. A web based web page provides supplementary enviornment materials for every readers and instructors. | |
| Product Identifiers | |
| Author | The MIT Press |
| ISBN-10 | 0262035618 |
| ISBN-13 | 9780262035613 |
| eBay Product ID (ePID) | 228981524 |
| Product Key Aspects | |
| Layout | Hardcover |
| E-newsletter Year | 2016 |
| Language | English |
| Dimensions | |
| Weight | 45.1 Oz |
| Width | 7in. |
| Top | 1in. |
| Size | 9in. |
| Additional Product Aspects | |
| Dewey Version | 23 |
| Illustrated | Sure |
| Dewey Decimal | 006.3/1 |
| Assortment | Adaptive Computation and Machine Learning |
| Age Vary | 18 |
| Copyright Date | 2016 |
| Author | Aaron Courville, Ian Goodfellow, Yoshua Bengio |
| Assortment of Pages | 800 Pages |
| Lc Classification Amount | Q325.5.G66 2017 |
| E-newsletter Date | 2016-11-18 |
| Opinions | [T]he AI bible… the text ought to be crucial studying by all records scientists and machine studying practitioners to make a decision up a honest foothold in this by shock rising station of next-gen technology. |
| Lccn | 2016-022992 |
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