Self-Assembly of a Biologically Plausible Learning Circuit
Over the last four decades, the amazing success of deep learning has been driven by the use of Stochastic Gradient Descent (SGD) as the main optimization technique. The default implementation for the computation of the gradient for SGD is backpropagation, which, with its variations, is used to this...
| Main Authors: | , , , , , |
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| Format: | Article |
| Published: |
Center for Brains, Minds and Machines (CBMM)
2024
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| Online Access: | https://hdl.handle.net/1721.1/157934 |