In this Honorary Keynote, Prof. Geoffrey Hinton, Full Professor at University of Toronto, discusses “Learning Deep Neural Networks without Propagating Derivatives”.
This is a new learning algorithm for artificial neural networks, called Forward-Forward algorithm, inspired by our knowledge about neural activations in the brain. While backpropagation is extremely useful, it is very different from what we know about the brain. Prof. Hinton explains how this new algorithm has the potential to replace backprop in the future.
The Q&As is moderated by Dr. Salim Chemlal, MoroccoAI co-founder.
MoroccoAI Conference 2022/2023 aims to formulate a Promising National AI Strategy to support sustainable development across key sectors in Morocco.
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Content of this video:
2:20 Prof. Hinton’s presentation