Interpretability techniques are normally studied in isolation. We explore the powerful interfaces that arise when you combine them — and the rich …
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By creating user interfaces which let us work with the representations inside machine learning models, we can give people new tools for …
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A visual guide to Connectionist Temporal Classification, an algorithm used to train deep neural networks in speech recognition, handwriting recognition and other …
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How neural networks build up their understanding of images
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We often think of optimization with momentum as a ball rolling down a hill. This isn’t wrong, but there is much more …
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Science is a human activity. When we fail to distill and explain research, we accumulate a kind of debt…
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Several interactive visualizations of a generative model of handwriting. Some are fun, some are serious.
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When we look very closely at images generated by neural networks, we often see a strange checkerboard pattern of artifacts.
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Although extremely useful for visualizing high-dimensional data, t-SNE plots can sometimes be mysterious or misleading.
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A visual overview of neural attention, and the powerful extensions of neural networks being built on top of it.