Multilayer Networks: First Steps

In course

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Description

This lecture covers the preparation for deriving the Backprop algorithm as gradient descent in layered networks, including the use of multi-layer perceptrons, supervised learning with sigmoidal output, notation in multilayer perceptrons, gradient descent, calculating the gradient steps, and applying the chain rule for weight updates.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_r8p98pri

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Ontological neighbourhood

Information engineering

Machine learning: Artificial neural networks

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