Part two in a series about understanding Transformers. This post focuses on the technical details of Transformers.

Part one in a series of posts about understanding Transformers. This post focuses on attention mechanisms.

Explanation of the basics of CNN interpretability, how CAM works, and how Grad-CAM works! Even comes with an implementation in PyTorch.

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.