Practical Deep Learning for Coders 2018 · fast.ai

Last year we announced that we were developing a new deep learning course based on Pytorch (and a new library we have built, called fastai), with the goal of allowing more students to be able to achieve world-class results with deep learning. Today, we are making this course, Practical Deep Learning for Coders 2018, generally available for the first time, following the completion of a preview version of the course by 600 students through our diversity fellowship, international fellowship, and Data Institute in-person programs. The only prerequisites are a year of coding experience, and high school math (math required for understanding the material is introduced as required during the course). The course includes around 15 hours of lessons and a number of interactive notebooks, and is now available for free (with no ads) at course.fast.ai. Our research focuses on how to make practically useful deep learning more widely accessible. Often we've found that the current state of the art (SoTA) approaches aren't good enough to be used in practice, so we have to figure out how to improve them.