This repository provides comprehensive notes and resources for deep learning, targeting students and self-learners. It aims to consolidate learning materials from prominent deep learning courses, offering structured notes, video links, and datasets to facilitate a deeper understanding of the field.

How It Works

The project curates and organizes learning materials from three key deep learning courses: "Pytorch" by TuDui, "Deep Learning" by Li Mu, and "Deep Learning" by Andrew Ng. It provides direct links to corresponding Bilibili video lectures and organized notes, along with a shared dataset link for practical application. The notes are presented in a format optimized for local viewing with Jupyter Notebook via Anaconda for proper rendering of images and formulas.

Quick Start & Requirements

• Install: Download notes locally from GitHub. Open Jupyter Notebook files using Anaconda.
• Prerequisites: Anaconda, Jupyter Notebook.
• Setup: Basic familiarity with GitHub and Anaconda is recommended. Links to tutorials for setting up Jupyter Notebook and its directory plugin are provided.
• Resources: Bilibili video links for TuDui, Li Mu, and Andrew Ng's courses. Baidu Pan link for datasets.

Highlighted Details

• Comprehensive notes covering Pytorch, Li Mu's "Dive into Deep Learning," and Andrew Ng's deep learning courses.
• Curated Bilibili video links for each course, synchronized with note sections.
• Shared dataset repository for hands-on practice.
• Guidance on setting up and optimizing the Jupyter Notebook environment for viewing notes.
• Extensive list of commercial-grade project ideas for practical skill development.

Maintenance & Community

The project encourages community interaction through WeChat and QQ groups for learners. The author actively seeks stars on GitHub as motivation for updates. Information regarding job opportunities and resume advice is also shared.

Licensing & Compatibility

The repository's licensing is not explicitly stated in the README. Compatibility for commercial use or closed-source linking is not specified.

Limitations & Caveats

Notes may not render correctly on the GitHub website and are best viewed locally with Anaconda's Jupyter Notebook. The project is primarily a collection of curated links and notes, not an executable codebase.