Captain1986/CaptainBlackboard resource

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1269 stars · 200 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A collection of technical notes and tutorials (in Chinese) covering machine learning, deep learning, computer vision, and C++ engineering topics, written as a series of 'blackboard' articles. It includes worked explanations of CNNs, loss functions, SVM, kNN, dimensionality reduction, and practical engineering tricks.

Use cases

• learn deep learning fundamentals with worked examples
• understand why cross-entropy is used as a classification loss
• study depthwise separable convolutions in MobileNet
• find tips for tuning deep learning hyperparameters
• learn common methods for handling imbalanced samples
• review machine learning basics like SVM and kNN
• learn C++ engineering tricks like embedding git commit SHA into binaries

When to choose

• you want concise Chinese-language explanations of ML/CV theory and practice
• you prefer article-style notes over full courses or textbooks
• you need quick refreshers on classic algorithms and loss functions

When to avoid

• you need up-to-date content on modern LLMs or recent architectures
• you want runnable, maintained code libraries rather than written notes
• you need English-language material

Facets

learning-resource · maturity maintenance

machine-learning deep-learning computer-vision image-processing nlp math developer-tools deep-learning computer-vision machine-learning tutorials developer-tools cross-platform technical-blog chinese-language notes cnn optimization engineering-tips algorithms

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