This repository contains handwritten notes for the "Deep Learning" book (also known as the "Deep Learning Book" or "Goodfellow Book"). It aims to provide a comprehensive, step-by-step explanation of deep learning concepts, targeting students and researchers seeking a deeper understanding of the mathematical foundations and practical aspects of the field. The notes are presented in a structured format, covering foundational machine learning, core deep neural networks, and advanced research topics.

How It Works

The project is a collection of detailed, handwritten notes that meticulously work through the concepts presented in the "Deep Learning" textbook. The author provides a chapter-by-chapter breakdown, including mathematical derivations and explanations, aiming for clarity and thoroughness. The notes are presented as scanned images, making them accessible for visual learners and those who prefer a more traditional study format.

Quick Start & Requirements

• Access: Notes are available as downloadable PDF files. A Baidu Cloud link is provided via a WeChat public account.
• Prerequisites: None explicitly stated for viewing the notes, but a background in mathematics and machine learning is assumed for comprehension.
• Resources: Requires a PDF reader.

Highlighted Details

• Comprehensive coverage of the "Deep Learning" book's chapters.
• Includes a dedicated section for mathematical symbols.
• Notes are handwritten, offering a personal and detailed approach.
• Companion notes for "Machine Learning" (Xigua Book) are also available.

Maintenance & Community

• Last updated in July 2019, with minor updates in early 2020.
• The author, Wang Bo (Kings), is a 985 AI PhD and CSDN blog expert.
• Contact via WeChat (Kingsplus) for AI mind maps and notes.

Licensing & Compatibility

• No license is explicitly stated in the README. The availability of downloadable PDFs suggests a non-commercial, personal use context.

Limitations & Caveats

The project is a static collection of notes, last updated in 2019, and may not reflect the latest advancements in deep learning. Access to the PDF downloads is contingent on interacting with a WeChat public account.