Deep Learning State of the Art (2020)

Lecture on most recent research and developments in deep learning, and hopes for 2020. This is not intended to be a list of SOTA benchmark results, but rather a set of highlights of machine learning and AI innovations and progress in academia, industry, and society in general. This lecture is part of the MIT Deep Learning Lecture Series. Website: Slides: References: Playlist: OUTLINE: 0:00 - Introduction 0:33 - AI in the context of human history 5:47 - Deep learning celebrations, growth, and limitations 6:35 - Deep learning early key figures 9:29 - Limitations of deep learning 11:01 - Hopes for 2020: deep learning community and research 12:50 - Deep learning frameworks: TensorFlow and PyTorch 15:11 - Deep RL frameworks 16:13 - Hopes for 2020: deep learning and deep RL frameworks 17:53 - Natural language processing 19:42 - Megatron, XL