| Deep Learning Design Patterns Contributor(s): Ferlitsch, Andrew (Author) |
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ISBN: 1617298263 ISBN-13: 9781617298264 Publisher: Manning Publications OUR PRICE: $56.99 Product Type: Paperback Published: November 2021 |
| Additional Information |
| BISAC Categories: - Computers | Intelligence (ai) & Semantics - Computers | Neural Networks |
| Dewey: 006.31 |
| LCCN: 2021425139 |
| Physical Information: 1" H x 7.4" W x 9.1" (1.85 lbs) 400 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: Deep Learning Patterns and Practices distills models from the latest research papers into practical design patterns applicable to enterprise AI projects. You'll learn how to integrate design patterns into deep learning systems from some amazing examples, using diagrams, code samples, and easy-to-understand language. Deep learning has revealed ways to create algorithms for applications that we never dreamed were possible. For software developers, the challenge lies in taking cutting-edge technologies from R&D labs through to production. Deep Learning Patterns and Practices, is here to help. In it, you'll find deep learning models presented in a unique new way: as extendable design patterns you can easily plug-and-play into your software projects. Deep Learning Patterns and Practices distills models from the latest research papers into practical design patterns applicable to enterprise AI projects. You'll learn how to integrate design patterns into deep learning systems from some amazing examples, using diagrams, code samples, and easy-to-understand language. Building on your existing deep learning knowledge, you'll quickly learn to incorporate the very latest models and techniques into your apps as idiomatic, composable, and reusable design patterns. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. |