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.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_nr8g70ry

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Ontological neighbourhood

Information engineering

Machine learning: Artificial neural networks

Computer engineering

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Theoretical computer science

Programming language theory: High-level programming languages

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