Deep Learning Course (NYU, Spring 2020) - Week 15 – Practicum part B: Training latent variable energy based models (EBMs)

Course website: http://bit.ly/pDL-home Playlist: http://bit.ly/pDL-YouTube Speaker: Alfredo Canziani Week 15: http://bit.ly/pDL-en-15 0:00:00 – Week 15 – Practicum part B PRACTICUM: http://bit.ly/pDL-en-15-2 This section starts from introducing a relaxed version of free energy by modifying the "temperature" to smooth the energy function. Then we demonstrate how to train EBMs by minimizing loss functionals with several examples. Finally we give a concrete example of self-supervised learning, where we train a EBM to learn a horn-like data manifold. 0:00:11 – Free Energy, zero temperature limit and relaxation 0:27:11 – Training an EBM 0:42:57 – Conditional / self-supervised