Notes

Deep Learning Notes-6, covering the Transformer attention mechanism (self-attention, multi-head attention, positional encoding), language models (GPT/BERT), and graph neural networks (message passing, graph convolution, graph attention). Corresponds to Chapters 12-13 of "Deep Learning: Foundations and Concepts".

A quick-reference glossary for the deep learning study notes series, explaining all the technical terms in plain language. Based on Bishop's "Deep Learning: Foundations and Concepts," covering core concepts from probability theory, neural networks, optimization, CNNs, Transformers, and generative models.

Obtain the miyoushe salt (LK2 & K2) by decompiling the APK

CSS notes following HTML

A study guide to the mainstream Go frameworks for beginners and interview preparation, covering the core concepts, usage, and comparisons of Gin, Eino, GoZero, gRPC, and Protobuf

HTML notes

Notes on JavaScript following HTML and CSS

Recording markdown syntax with a friend