Understanding Transformers Part 2: Technical Details of Transformers
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Part two in a series about understanding Transformers. This post focuses on the the technical details of Transformers.
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Artificial Intelligence
Understanding Transformers Part 1: Attention Mechanisms
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Part one in a series of posts about understanding Transformers. This post focuses on attention mechanisms.
Grad-CAM and Basic CNN Interpretability (with Implementation!)
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Explanation of the basics of CNN interpretability, how CAM works, and how Grad-CAM works! Even comes with an implementation in PyTorch.
Few-Shot Learning - Why, How, and the Future
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Brief introduction and overview of few-shot learning. Discusses why few-shot learning is cool, common approaches to few-shot learning, and the potential impact it could have in the future.