This repository is a hand-curated collection of deep learning learning resources assembled by the author after personally reviewing all listed content. It covers topics including CNNs, LSTMs, attention mechanisms, gradient descent optimization, and practical implementations. The list includes online classes, books, blog posts, papers, datasets, and video tutorials aimed at practitioners learning or revisiting deep learning concepts.