Lecture

Pytorch Intro: MNIST and Digits

In course

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Description

This lecture introduces the Pytorch framework by exploring the MNIST dataset for handwritten digit recognition and the Digits dataset. It covers loading datasets, creating dataloaders, visualizing data, training a perceptron, and testing neural networks. Additionally, it delves into the concepts of normalization, transformation, and the impact of dataset size on training performance.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_l6tq0ebt

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Ontological neighbourhood

Information engineering

Machine learning: Artificial neural networks

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