Lecture

Neural Networks: Supervised Learning and Backpropagation

In course

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Description

This lecture covers the concepts of neural networks, supervised learning, and backpropagation. It explains the process of training neural networks using labeled data and adjusting weights to minimize errors. The instructor demonstrates how backpropagation calculates gradients to update weights and biases iteratively, improving the network's performance.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_bviyw3mn

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Ontological neighbourhood

Information engineering

Machine learning: Artificial neural networks

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