Designate: $17.24
| Situation: |
Trace New: A recent, unread, unused e book in excellent situation with out a missing or damaged pages. Look the vendor’s |
Layout: | Paperback |
| Language: | English | E-newsletter Year: | 2017 |
| ISBN: |
9781491962299 |
| Product Files | |
| Thru a sequence of most modern breakthroughs, deep discovering out has boosted the general self-discipline of machine discovering out. Now, even programmers who know near nothing about this expertise can utilize easy, efficient tools to place in drive applications able to discovering out from files. This unbiased appropriate e book exhibits you how. By the usage of concrete examples, minimal thought, and two manufacturing-ready Python frameworksScikit-Learn and TensorFlowauthor Aurlien Gron helps you carry out an intuitive working out of the ideas and tools for constructing sparkling systems. You are going to learn a unfold of ways, beginning with easy linear regression and progressing to deep neural networks. With exercises in every chapter to make it more uncomplicated to phrase what you’ve learned, all you’d like is programming trip to salvage started. Explore the machine discovering out landscape, in particular neural nets Employ Scikit-Learn to phrase an instance machine-discovering out project end-to-end Explore several practising gadgets, in conjunction with toughen vector machines, choice trees, random forests, and ensemble solutions Employ the TensorFlow library to salvage and direct neural nets Dive into neural gather architectures, in conjunction with convolutional nets, recurrent nets, and deep reinforcement discovering out Learn ways for practising and scaling deep neural nets Instruct unbiased appropriate code examples without shopping excessive machine discovering out thought or algorithm fundamental formulation | |
| Product Identifiers | |
| Trace | O’Reilly |
| Writer | O’Reilly |
| ISBN-10 | 1491962291 |
| ISBN-13 | 9781491962299 |
| eBay Product ID (ePID) | 227662629 |
| Product Key Positive aspects | |
| Layout | Paperback |
| E-newsletter Year | 2017 |
| Language | English |
| Dimensions | |
| Weight | 33.5 Oz |
| Width | 7.1in. |
| Height | 1.2in. |
| Length | 9.2in. |
| Additional Product Positive aspects | |
| Dewey Model | 23 |
| Illustrated | Yes |
| Dewey Decimal | 006.31 |
| Copyright Date | 2017 |
| Author | Aurélien Géron |
| Alternative of Pages | 574 |
| Lc Classification Quantity | Q325.5 |
| E-newsletter Date | 2017-04-09 |
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