Launching Cutting Edge Deep Learning for Coders: 2018 edition · fast.ai

Today we are launching the 2018 edition of Cutting Edge Deep Learning for Coders, part 2 of fast.ai's Just as with our part 1 Practical Deep Learning for Coders, there are no pre-requisites beyond high school math and 1 year of coding experience--we teach you everything else you need along the way. This course contains all new material, including new state of the art results in NLP classification (up to 20% better than previously known approaches), and shows how to replicate recent record-breaking performance results on Imagenet and CIFAR10. The main libraries used are PyTorch and fastai (we explain why we use PyTorch and why we created the fastai library in this article). Each of the eight lessons includes a video that's around two hours long, an interactive Jupyter notebook, and a dedicated discussion thread on the fast.ai