Understand the project
Practical overview
When it fits
Use it alongside the book when you want to follow its chapter examples or inspect the accompanying Python source.
Who it is for
- Readers following the accompanying deep-learning book
- Learners who want to examine or run chapter-based Python examples
Documented uses
- Run code examples from a selected book chapter
- Explore shared code and dataset-related source files
- Study examples that include neural-network training
Before you choose
Requirements & limits
The repository is public and its source code is licensed under MIT; the README says it may be used commercially.
- Examples are arranged in ch01 through ch08, with separate common and dataset folders.
- Python 3, NumPy and Matplotlib are listed as prerequisites.
- The README points to the book for code explanations and to an errata page for corrections.
Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.
Source-based practical guide
Run a chapter example
Use the repository’s documented method to run an example from a chapter folder.
Before you start
- Python 3
- NumPy
- Matplotlib
- The repository’s chapter code
Steps
Change into a chapter directory, such as ch01.
Run the documented Python file, such as python man.py.
For the ch05 example, change into ch05 and run python train_nueralnet.py.
Expected outcome
The selected chapter example is invoked with Python from its chapter directory.
Guide limitations
- The README refers readers to the book for explanations of the source code.
Evidence and transparency
Sources & review
Source record details
- Source availability
- Active
- Sources checked
- 13 October 2026
- Original website title
- qiaohaoforever/DeepLearningFromScratch · Official homepage title · retained in its source language