course-v3 repository contains the complete learning materials for the third edition of the Practical Deep Learning for Coders course developed by the fast.ai research group. The repository includes Jupyter notebooks, lesson materials, datasets, and supporting documentation used in the course to teach modern deep learning techniques. The course emphasizes a top-down approach to learning artificial intelligence, where students begin by building practical models and later study the underlying theory and mathematics. The materials demonstrate how to train neural networks using the fastai library and the PyTorch deep learning framework, enabling learners to quickly create applications such as image classifiers, natural language processing models, and recommendation systems.

Features

  • Jupyter notebooks corresponding to the Practical Deep Learning for Coders course
  • Hands-on deep learning examples using fastai and PyTorch
  • Datasets and training scripts for model experimentation
  • Step-by-step exercises covering computer vision and NLP tasks
  • Educational materials designed for practical machine learning workflows
  • Course resources that replicate the official fast.ai lessons

Project Samples

Project Activity

See All Activity >

Categories

Machine Learning

License

Apache License V2.0

Follow course-v3

course-v3 Web Site

Other Useful Business Software
Ship Agents Faster Icon
Ship Agents Faster

Transform your applications and workflows into powerful agentic systems at global scale.

Gemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
Get Started Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of course-v3!

Additional Project Details

Programming Language

Swift

Related Categories

Swift Machine Learning Software

Registered

2026-03-11