Fast.ai Part 2: Deep Learning from the Foundations

It covers many of the most important academic papers that form the foundations of modern deep learning, using “code-first” teaching, where each method is implemented from scratch in python and explained in detail (in the process, we’ll discuss many important software engineering techniques too). The first five lessons use Python, PyTorch, and the fastai library; the last two lessons use Swift for TensorFlow, and are co-taught with Chris Lattner, the original creator of Swift, clang, and LLVM. So be sure to study the notebooks to see lots more Swift tricks…

We’ll be releasing even more lessons in the coming months and adding them to an attached course we’ll be calling Applications of Deep Learning.

Source: course.fast.ai