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leedl-tutorial

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Project Description

《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

leedl-tutorial: 《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

Project Title

leedl-tutorial — Comprehensive Deep Learning Tutorial Based on Lee's Machine Learning Course

Overview

The leedl-tutorial project is a comprehensive deep learning tutorial based on Professor Li Hongyi's machine learning course from National Taiwan University. It stands out for its detailed derivations of formulas, in-depth explanations of complex concepts, and its use of engaging examples to make deep learning theory accessible. The project is designed to provide a solid foundation in deep learning for beginners and those looking for a Chinese-language resource.

Key Features

  • Detailed derivations of deep learning formulas
  • In-depth explanations of complex deep learning concepts
  • Use of engaging examples and illustrations
  • Coverage of a wide range of deep learning topics

Use Cases

  • Use case 1: Deep learning beginners looking for a comprehensive tutorial in Chinese
  • Use case 2: Students and researchers needing a detailed resource for deep learning theory
  • Use case 3: Educators seeking supplementary material for deep learning courses

Advantages

  • Advantage 1: Provides a thorough understanding of deep learning fundamentals
  • Advantage 2: Offers detailed mathematical derivations for better comprehension
  • Advantage 3: Engaging content delivery with the use of relatable examples

Limitations / Considerations

  • Limitation 1: The project is based on a specific course, which may limit its scope compared to more general deep learning resources
  • Limitation 2: As an educational resource, it may not be as up-to-date with the latest advancements in deep learning as other resources

Similar / Related Projects

  • Project 1: Deep Learning Book by Ian Goodfellow - A widely recognized book on deep learning, providing a more general and advanced perspective on the field.
  • Project 2: Fast.ai - An online deep learning course that focuses on practical applications and coding, with a strong community aspect.
  • Project 3: Stanford's CS231n - A computer vision course that covers deep learning, known for its rigorous approach and cutting-edge content.

Basic Information


📊 Project Information

🏷️ Project Topics

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Project Information

Created on 7/2/2019
Updated on 9/15/2025