Download Bayesed Deep Learning PDF Free - Full Version
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About Bayesed Deep Learning
1. Bayesian deep learning combines deep learning and Bayesian probability theory by showing that dropout training, a popular deep learning technique, is equivalent to approximate Bayesian inference. 2. This connection provides a mathematically grounded framework and opens new research opportunities, such as modeling uncertainty in deep learning for interpretability and AI safety. 3. Bayesian probability theory can address limitations of deep learning like lack of uncertainty estimates and reliance on large datasets.
Detailed Information
| Author: | ['Luiz'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 55 |
| Language: | English |
| Format: | |
| Price: | FREE |
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