NYU Deep Learning SP21 - 03 – Tools, classification with neural nets, PyTorch implementation

Course website: http://bit.ly/DLSP21-web Playlist: http://bit.ly/DLSP21-YouTube Speaker: Alfredo Canziani Chapters 00:00 – Welcome! 00:45 – Typora 01:27 – Notion 03:12 – Lecture begins 04:48 – Draw.io and inference 12:01 – Neural nets training, classification 18:00 – Space-fabric stretching (animation) 20:26 – Drawing time! (blackboard 2-100-2-5 diagram) 26:06 – Training data 32:07 – Fully connected layer 39:06 – Inference 42:11 – Training → loss function 47:14 – Training → gradient descent & back-propagation 50:00 – PyTorch classification implementation with Jupyter notebook 53:03 – PyTorch 5-step training 1:01:29 – PyTorch regression implementation with Jupyter notebook 1:03:40 – Regression uncertainty estimation