NYU Deep Learning SP21 - 05.1 – Latent Variable Energy Based Models (LV-EBMs), inference

Course website: http://bit.ly/DLSP21-web Playlist: http://bit.ly/DLSP21-YouTube Speaker: Alfredo Canziani Chapters 00:00 – Affine transformation in 2 and 3D by @LeiosLabs (James Schloss) 01:21 – Thanks for sending me a Wacom graphic tablet 01:50 – *Inference* for LV EBM (we're given a model) 04:32 – Training samples: one to many mapping 13:10 – Let's simplify stuff: the unconditional case 15:56 – Untrained model manifold generation 21:15 – The Energy Function, tadaaa 🎉 24:51 – Indexing energy function by picking individual training samples 31:41 – The 23rd energy (U shaped) 39:27 – The 10th energy (~ shaped) 46:07 – The Free Energy (definition and the 10th example) 51:59 – The 23rd free energy 53:07 – Computing the free energy for the entire 𝒴 space 1:00:01 – That was it :)