Blog
Blog posts are more formal than notes: technical articles, research logs, project reviews, learning methods, and long-term reflections.
A personal Day 01 learning log: using TensorFlow's Fashion-MNIST dataset to train a small MLP, observe loss and accuracy, and mark a first deep-learning project break-in before finals week.
A reconstructed project record for a medium-sized prototype connecting rule-based peak extraction, a browser demo, and CNN / Transformer training interfaces.
A personal plan for connecting data structures, algorithms, deep learning, and reproducible research practice.
整理卷积归纳偏置、注意力机制、视觉任务中的模型结构差异，以及后续复现路线。
A compact review of BFS, DFS, shortest path variants, and how to turn practice problems into reusable templates.
Tracking vocabulary, datasets, metrics, model families, and common implementation details for CV experiments.
A research log structure for weekly updates: progress, blockers, experiment settings, and next decisions.
Branching, commit messages, experiment snapshots, and lightweight habits for cleaner engineering records.