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Dive-into-DL-PyTorch

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Project Description

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

Dive-into-DL-PyTorch: 本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

Project Title

Dive-into-DL-PyTorch — A PyTorch-based Implementation of "Dive into Deep Learning"

Overview

Dive-into-DL-PyTorch is an open-source project that translates the original MXNet code from the book "Dive into Deep Learning" into PyTorch implementations. This project aims to make the content of the book accessible to a broader audience of PyTorch users, providing a practical guide to deep learning with hands-on PyTorch code examples.

Key Features

  • PyTorch implementations of "Dive into Deep Learning" book examples
  • Jupyter Notebooks for each chapter, facilitating interactive learning
  • Comprehensive markdown documentation mirroring the book's content
  • GitHub Pages deployment for easy access to the documentation

Use Cases

  • Educators and students looking for a PyTorch-centric deep learning curriculum
  • Developers transitioning from MXNet to PyTorch for deep learning projects
  • Self-learners who prefer practical, hands-on learning with PyTorch

Advantages

  • Provides a practical, hands-on approach to learning deep learning with PyTorch
  • Offers a community-driven resource for PyTorch users to learn from and contribute to
  • Facilitates easy access to both code and documentation through GitHub Pages

Limitations / Considerations

  • The project relies on the original book's content, which may have differences between the Chinese and English versions
  • Users need to have a basic understanding of mathematics and programming to fully benefit from the project
  • The project's effectiveness is contingent on the accuracy and relevance of the book's content

Similar / Related Projects

  • d2l-pytorch: A similar project focusing on the English version of "Dive into Deep Learning" with PyTorch implementations.
  • fast.ai: An open-source deep learning library and course that provides a high-level interface for PyTorch and TensorFlow, differing in its approach by offering a more streamlined learning experience.
  • Deep Learning with Python: A project by François Chollet that provides Jupyter notebooks for deep learning with Keras, offering a different set of tools and focus compared to Dive-into-DL-PyTorch.

Basic Information


📊 Project Information

🏷️ Project Topics

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📚 Documentation


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Project Information

Created on 2/21/2019
Updated on 9/23/2025