Probabilistic Deep Learning /
Probabilistic Deep Learning is a hands-on guide to the principles that support neural networks. Learn to improve network performance with the right distribution for different data types, and discover Bayesian variants that can state their own uncertainty to increase accuracy. This book provides easy...
| Main Authors: | , |
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| Corporate Author: | |
| Format: | eBook |
| Language: | English |
| Published: |
Manning Publications,
2020.
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| Edition: | 1st edition. |
| Subjects: | |
| Online Access: | Connect to this electronic resource |
| Summary: | Probabilistic Deep Learning is a hands-on guide to the principles that support neural networks. Learn to improve network performance with the right distribution for different data types, and discover Bayesian variants that can state their own uncertainty to increase accuracy. This book provides easy-to-apply code and uses popular frameworks to keep you focused on practical applications. |
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| Item Description: | Electronic resource. |
| Physical Description: | 1 online resource (296 pages) |
| Format: | Mode of access: World Wide Web. |