A simultaneous perturbation weak derivative estimator for stochastic neural networks
In this paper we study gradient estimation for a network of nonlinear stochastic units known as the Little model. Many machine learning systems can be described as networks of homogeneous units, and the Little model is of a particularly general form, which includes as special cases several popular m...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2019
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| Online Access: | View Fulltext in Publisher |