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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