fast.ai

fast.ai connects deep learning courses, software documentation, and community discussions. Its Practical Deep Learning for Coders starts with real-world problems and helps you understand model training by running and modifying code, without requiring you to first complete an entire advanced mathematics curriculum.

The public course covers computer vision, natural language processing, tabular data analysis, collaborative filtering, random forests, and deployment, using PyTorch, fastai, and related tools. The second part delves further into the fundamentals of deep learning and diffusion models; learners should choose the appropriate stage based on their own background rather than skipping the introductory exercises outright.

When studying, you can combine course videos, online books, notebooks, and forum discussions. The course content is free; however, the runtime environment and computing resources must be configured according to the actual terms of the chosen service. Do not equate the free availability of the course with unlimited free access to all cloud resources.

Developers and learners with basic programming experience

The Practical Deep Learning for Coders course and online book are available for free; third-party runtime environments, computing power, and physical books are subject to separate pricing.