Lecture

Neural Networks: Training and Activation

In course

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Description

This lecture covers the basics of neural networks, including the role of input and the structure of hidden layers. It also delves into activation functions, backpropagation, and the implementation of a simple neural network in PyTorch. The instructor demonstrates the computation process and provides resources for further exploration.

Instructors (2)

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Official source

https://mediaspace.epfl.ch/media/0_6rplfu58

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Ontological neighbourhood

Information engineering

Machine learning: Artificial neural networks, Topics in machine learning

Signal processing: Digital image processing

Data science: Topics in data science

Statistics

Statistical inference: Statistical hypothesis testing

Data analysis: Cross-validation

Linguistics

Theoretical linguistics: Syntax

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