How halfish/machine-learning-reference works
This repository is a curated machine-learning learning and reading reference, not a runnable application. Its main documented workflow is a reader consulting the root guide for books, courses, and other learning resources across machine learning, NLP, deep learning, and probabilistic graphical models. The tree also contains topic-specific README files and a paper-reading list, but their contents and any links between them were not available, so they are shown as independent reference materials.
Main entry points: README.md Resource guide · attention_mechanism/README.md Attention notes · image_sentence_matching/README.md Image-sentence matching · memory_network/README.md Memory network notes
Components 7
Learning guide
- Resource guide
README.md
Topic notes
- Attention notes
attention_mechanism/README.md - Image-sentence matching
image_sentence_matching/README.md - Memory network notes
memory_network/README.md - Summary notes
summary/README.md
Reading materials
- Paper reading list
paper-reading-list.md
Other components
- Reader
Connections 6
- Reader → Resource guide: consults
- Reader → Attention notes: consults
- Reader → Image-sentence matching: consults
- Reader → Memory network notes: consults
- Reader → Summary notes: consults
- Reader → Paper reading list: consults