jiqizhixin/ML-Tutorial-Experiment resource

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2489 stars · 720 forks observed · 2026-08-28

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

A collection of Jupyter Notebook tutorials from Jiqizhixin (Synced) that implement machine learning models from scratch, including CNNs, GANs, and CapsNets using TensorFlow and Keras. It accompanies a series of Chinese-language 'Learning to Learn' tutorial articles.

Use cases

• learn to build a CNN from scratch in TensorFlow
• understand and implement GANs with theory derivations
• study CapsNet architecture with code
• practice deep learning with LeNet-5 and Keras examples
• follow along with machine learning tutorial articles

When to choose

• you want hands-on notebook-based tutorials for classic deep learning models
• you prefer explanations paired with runnable TensorFlow/Keras code
• you are learning ML fundamentals from scratch

When to avoid

• you need production-ready or maintained ML code
• you require a licensed library for a project
• you need up-to-date TensorFlow 2.x or PyTorch examples

Facets

learning-resource · maturity abandoned

machine-learning deep-learning machine-learning deep-learning tutorials python cross-platform jupyter-notebooks tensorflow keras cnn gan capsnet chinese-language educational

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