Learning on arbitrary graph topologies via predictive coding
Training with backpropagation (BP) in standard deep learning consists of two main steps: a forward pass that maps a data point to its prediction, and a backward pass that propagates the error of this prediction back through the network. This process is highly effective when the goal is to minimize a...
| Main Authors: | , , , , , , |
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| Format: | Conference item |
| Language: | English |
| Published: |
Curran Associates
2023
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