Deep learning : a practitioner's approach
How can machine learning--especially deep neural networks--make a real difference in your organization? This hands-on guide not only provides practical information, but helps you get started building efficient deep learning networks. The authors provide the fundamentals of deep learning--tuning, par...
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| Main Authors | , |
|---|---|
| Format | Electronic eBook |
| Language | English |
| Published |
Sebastopol, CA :
O'Reilly Media, Inc.,
2017.
|
| Edition | First edition. |
| Subjects | |
| Online Access | Full text |
| ISBN | 9781491914236 9781491914212 9781491914250 |
| Physical Description | 1 online zdroj (507 stran) : barevné ilustrace |
Cover
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| 250 | |a First edition. | ||
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| 520 | |a How can machine learning--especially deep neural networks--make a real difference in your organization? This hands-on guide not only provides practical information, but helps you get started building efficient deep learning networks. The authors provide the fundamentals of deep learning--tuning, parallelization, vectorization, and building pipelines--that are valid for any library before introducing the open source Deeplearning4j (DL4J) library for developing production-class workflows. Through real-world examples, you'll learn methods and strategies for training deep network architectures and running deep learning workflows on Spark and Hadoop with DL4J.- Resumé vydavatel | ||
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