Leedl-Tutorial

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leedl-tutorial is an Open Source tool that provides a comprehensive deep learning tutorial based on Li Hongyi's lectures. It includes downloadable PDF versions and covers essential deep learning theories.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is leedl-tutorial?

leedl-tutorial is an open-source repository offering a comprehensive deep learning tutorial, primarily based on Professor Li Hongyi's acclaimed 'Machine Learning' lectures from 2021. The tutorial aims to make complex deep learning concepts accessible and easy to understand, featuring detailed derivations of formulas and reinforced explanations of challenging topics. It expands upon the original lectures by incorporating content from earlier courses and additional deep learning knowledge. The resource provides downloadable PDF versions, including a revised edition, and offers accompanying code examples. It's designed for students and enthusiasts looking for a structured and engaging introduction to deep learning in Chinese.

Best used for

Ideal for students and researchers who need to learn deep learning concepts, access comprehensive educational materials, and understand complex AI theories. Especially valuable for those seeking a structured tutorial with detailed explanations and practical code examples.

Common actions

learn deep learning

access educational resources

study AI concepts

download tutorials

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Capabilities

Key features

Downloadable PDF tutorial
Detailed formula derivations
Accompanying code examples
Comprehensive deep learning topics
Teacher recommendations

Target Audience

professorteachertutor

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What content is covered in the leedl-tutorial?

The tutorial covers a wide range of deep learning topics, including convolutional neural networks, self-attention mechanisms, recurrent neural networks, Transformer, generative models, self-supervised learning, autoencoders, diffusion models, adversarial attacks, explainable AI, transfer learning, deep reinforcement learning, lifelong learning, network compression, meta-learning, and ChatGPT.

Where can I download the PDF version of the tutorial?

The latest PDF version of the tutorial can be downloaded from the releases page on GitHub: https://github.com/datawhalechina/leedl-tutorial/releases. A domestic download link via Baidu Pan is also provided for users in China.

Are there any accompanying code examples for the tutorial?

Yes, the tutorial includes配套代码 (accompanying code) which can be found in the 'Homework' folder within the GitHub repository. These examples are designed to complement the theoretical content and provide practical application.

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