fast.ai Introduction

fast.ai operates through several key components: 1) Free online courses that teach deep learning using a top-down, practical approach. Students start by using powerful models before diving into the underlying theory. 2) The fastai library, built on top of PyTorch, which simplifies the process of training neural networks. It incorporates best practices and allows users to quickly build models for various applications. 3) Research initiatives that push the boundaries of AI, often focused on making models more efficient and accessible. 4) A vibrant community forum where learners can ask questions and share knowledge. The courses cover a range of topics from computer vision and natural language processing to tabular data analysis, using real-world datasets and applications.