Lecture

Back-propagation: Understanding Neural Networks

In course

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Description

This lecture covers the fundamentals of back-propagation in neural networks, explaining the process of updating weights based on errors, the concept of pre-activations, and the role of biases. It also delves into the evaluation of neural networks through training and test losses.

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Instructor

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Official source

https://mediaspace.epfl.ch/media/0_5zs5jei8

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Ontological neighbourhood

Information engineering

Machine learning: Artificial neural networks

Statistics

Data analysis: Regression analysis

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