Deep Learning State of the Art (2019) – MIT

New lecture on recent developments in deep learning that are defining the state of the art in our field (algorithms, applications, and tools). This is not a complete list, but hopefully includes a good sampling of new exciting ideas. For more lecture videos visit our website or follow code tutorials on our GitHub repo. INFO: Website: https://deeplearning.mit.edu GitHub: https://github.com/lexfridman/mit-deep-learning Slides: Playlist: OUTLINE: 0:00 – Introduction 2:00 – BERT and Natural Language Processing 14:00 – Tesla Autopilot Hardware v2+: Neural Networks at Scale 16:25 – AdaNet: AutoML with Ensembles 18:32 – AutoAugment: Deep RL Data Augmentation 22:53 – Training Deep Networks with Synthetic Data 24:37 – Segmentation Annotat

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