NYU Deep Learning SP21 - 13 – The Truck Backer-Upper

Course website: http://bit.ly/DLSP21-web Playlist: http://bit.ly/DLSP21-YouTube Speaker: Alfredo Canziani Chapters 00:00 – Welcome to class 00:00:28 – Action plan 00:05:05 – State transition equations (recap) 00:07:13 – The Truck Backer-Upper 00:09:16 – Vehicle configuration 00:11:47 – Implementation in a Jupyter Notebook 00:13:52 – Manual parking tests 00:18:03 – Training: a two-stage learning process 00:20:57 – State update equations for a trailer truck 00:22:59 – Emulator training strategy 00:26:27 – Training protocol (I) 00:31:14 – Control as RNN (again) 00:35:37 – Training protocol (II) 00:38:16 – Unrolling in time (AKA BPTT) 00:39:59 – Successful controller's trajectories 00:42:03 – Additional resources 00:42:56 – PyTorch (partial) implementation 00:50:32 – Bayesian neural nets 00:53:34 – Dropout 00:55:59 – Uncertainty for a regressor (demo) 01:00:35 – And that was it :D