A collection of approximately 20 Jupyter notebooks providing an introduction to deep learning, fastai, and PyTorch. The notebooks can be read and executed directly in a web browser via Google Colab without requiring local setup.
Project overview
Provides an accessible starting point for learning deep learning concepts by combining explanatory text and executable code, with direct links to run each chapter in Google Colab.
Project type
Infrastructure · Learning Resources
Use cases
Learning & Education
Deployment
Refer to project documentation
License
License pending
Best for
Developers, educators, and general users seeking an introduction to deep learning, fastai, and PyTorch via executable Jupyter notebooks.
Key capabilities
Jupyter notebooks covering an introduction to deep learning, fastai, and PyTorch across approximately 20 chapters.
Provides direct links to open and execute each chapter notebook in Google Colab for running code in a browser without local setup.
Offers translations of the repository's overview and instructions in multiple languages; named examples include Spanish, Korean, Chinese, Bengali, and Japanese.
Limitations and risks
Prose and markdown cells are not licensed for redistribution, change of format, or commercial or broadcast use.
Hosting copies of these materials elsewhere is not allowed and may lead to legal action.
Getting started
Open a chapter notebook link in Google Colab, then read and run the notebook cells to begin the tutorials.
Alternatives and comparisons
Presents simple PyTorch implementations of neural networks and related algorithms documented with explanations, useful for understanding deep learning algorithms.
Provides a curated compilation of step-by-step tutorials for recreating technologies from scratch to learn programming.
README: These notebooks cover an introduction to deep learning, [fastai](https://docs.fast.ai/), and [PyTorch](https://pytorch.org/). fastai is a layered API for deep learning; for more i…
README: Instead of cloning this repo and opening it on your machine, you can read and work with the notebooks using [Google Colab](https://research.google.com/colaboratory/). This is the…
README: The notebooks in this repo are used for [a MOOC](https://course.fast.ai) and form the basis of [this book](https://www.amazon.com/Deep-Learning-Coders-fastai-PyTorch/dp/1492045527…