choose when you want a concise exercise-driven Chinese PyTorch course instead of a broad handbook.
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- 6.9k
- Jupyter Notebook
- MIT
PyTorch deep learning education / Chinese tutorial handbook
An open-source Chinese handbook (Jupyter notebooks) that teaches PyTorch and deep learning to beginners with tested code examples.
Same problem, same approach. Swapping one for another is a config change, not a rewrite.
choose when you want a concise exercise-driven Chinese PyTorch course instead of a broad handbook.
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choose when you want an up-to-date English video-led PyTorch course instead of a Chinese handbook.
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
choose when you want lecture-aligned Chinese deep-learning notebooks with more theory than the seed.
《李宏毅深度学习教程》(李宏毅老师推荐👍,苹果书🍎),PDF下载地址:https://github.com/datawhalechina/leedl-tutorial/releases
Solves the same problem with a different architecture or at a different layer. Expect to rewrite the integration.
choose when you want a Keras/TensorFlow university course with video lectures rather than a PyTorch-only handbook.
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
choose when you want a fastai high-level API book with top-down teaching instead of PyTorch internals.
The fastai book, published as Jupyter Notebooks
choose when you want a rigorous MIT-style deep learning course with TensorFlow labs.
Lab Materials for MIT 6.S191: Introduction to Deep Learning
choose when you want code-first tutorials across multiple frameworks rather than a coherent handbook.
A resource for learning about Machine learning & Deep Learning
choose when you want a comprehensive ML book covering multiple libraries instead of a PyTorch-focused handbook.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, PyTorch, and Hugging Face libraries.
choose when you want a deeper, multi-framework interactive textbook with math and exercises, accepting less recent updates.
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
choose when you want TensorFlow example snippets rather than PyTorch tutorials.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
choose when you want a theoretical Chinese neural-network textbook rather than hands-on PyTorch code.
邱锡鹏《神经网络与深度学习》第二版与通识版:电子书、章节目录、学习资源与勘误。
An earlier or more limited way to do the job. Still the right call when you need something small, proven, or CPU-only.
choose if you want the classic Morvan Chinese PyTorch walkthrough despite being outdated.
Build your neural network easy and fast, 莫烦Python中文教学
choose if you want an early concise Chinese PyTorch intro despite being severely outdated.
PyTorch从入门到精通
choose if you need the legacy TensorFlow 1.x tutorial style; otherwise superseded.
TensorFlow Tutorials with YouTube Videos
These projects were analysed and named pytorch-handbook among their alternatives. The relationship is not symmetric — how pytorch-handbook rates them is a separate judgement, made when pytorch-handbook is analysed in its own right.
calls pytorch-handbook “Choose for a PyTorch-specific structured handbook in Chinese rather than TensorFlow examples.”
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
calls pytorch-handbook “Open-source PyTorch deep learning handbook in Chinese; choose it for a PyTorch-focused practical introduction.”
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
calls pytorch-handbook “Choose for a PyTorch-centric deep learning handbook.”
The "Python Machine Learning (1st edition)" book code repository and info resource
calls pytorch-handbook “A book-style PyTorch tutorial; pick for a structured PyTorch introduction.”
TensorFlow Tutorials with YouTube Videos
calls pytorch-handbook “choose for a PyTorch-specific handbook; narrower framework coverage than the seed.”
100 Days of ML Coding
calls pytorch-handbook “Previous-generation PyTorch handbook, still useful but not actively maintained (last push 2.1y).”
PyTorch Tutorial for Deep Learning Researchers
calls pytorch-handbook “choose for PyTorch-specific hands-on tutorials; it lacks the theoretical depth and comprehensiveness of the seed.”
邱锡鹏《神经网络与深度学习》第二版与通识版:电子书、章节目录、学习资源与勘误。
calls pytorch-handbook “PyTorch-specific handbook, stale and limited to that framework.”
《李宏毅深度学习教程》(李宏毅老师推荐👍,苹果书🍎),PDF下载地址:https://github.com/datawhalechina/leedl-tutorial/releases
calls pytorch-handbook “When you want a Chinese-language PyTorch handbook, but it's older and not updated recently.”
A collection of machine learning examples and tutorials.
calls pytorch-handbook “Choose when you want a beginner PyTorch handbook in Chinese rather than MIT's full DL course; it is older and framework-specific.”
Lab Materials for MIT 6.S191: Introduction to Deep Learning
calls pytorch-handbook “For a Chinese PyTorch handbook, but it is no longer updated.”
A resource for learning about Machine learning & Deep Learning
calls pytorch-handbook “Choose it as an older but still valid Chinese PyTorch handbook if you prefer a book-style reference.”
Build your neural network easy and fast, 莫烦Python中文教学
calls pytorch-handbook “When you need a PyTorch-focused deep learning tutorial in Chinese rather than sklearn/TensorFlow.”
The "Python Machine Learning (2nd edition)" book code repository and info resource
calls pytorch-handbook “When you want a Chinese language handbook focused on learning PyTorch's APIs, but it does not cover the seed's full ML/DL scope.”
AI实战-practicalAI 中文版