Lecture

Feature Maps

In course

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Description

This lecture covers the visualization of feature maps in neural networks using torch.fx. It explores the transformations of input images through convolutional layers, ReLU applications, and pooling layers. Additionally, it delves into activation maximization to understand what features deep models learn, with examples from the GoogLeNet network.

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Instructor

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Official source

https://mediaspace.epfl.ch/media/0_ds59grns

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Ontological neighbourhood

Information engineering

Machine learning: Artificial neural networks

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