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Lecture
Pytorch Intro: MNIST and Digits
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.
Official source
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