Going Deep on Deep Learning

In a field with a tendency to jump from buzzword to buzzword, deep learning has proven to be a consistent driver of discovery and scientific progress -- but also a frequent source of confusion, and even trepidation. Well, TDS is here to help. A good place to start? This comprehensive introduction to Bayesian deep learning by Joris Baan, which he wrote with the explicit goal of bridging the gap between basic probability theory and cutting-edge research. You'd be hard-pressed to find a better article to read next than Lina Faik's patient explanation of deep Q learning, reinforcement learning, and how the two are powering new and exciting real-world applications.