Distill — Latest articles about machine learning
Understanding Convolutions on Graphs Ameya Daigavane, Balaraman Ravindran, and Gaurav Aggarwal Understanding the building blocks and design choices of graph neural networks. A Gentle Introduction to Graph Neural Networks Benjamin Sanchez-Lengeling, Emily Reif, Adam Pearce, and Alexander B. Wiltschko What components are needed for building learning algorithms that leverage the structure and propert
Feature Visualization
If we want to understand individual features, we can search for examples where they have high values — either for a neuron at an individual position, or for an entire channel. We used the channel objective to create most of the images in this article. If we want to understand a layer as a whole, we can use the DeepDream objective , searching for images the layer finds “interesting.” And if we want
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