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Lecture
Backpropagation and Neural Networks
Description
This lecture covers the backpropagation algorithm for training neural networks, explaining how to compute gradients, pre-activations, and post-activations. It also discusses the representation of functions in multilayer networks and the importance of choosing hyperparameters.
Official source
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