NYU-DLSP21
Discover the revamped deep learning curriculum and materials designed for an enriched learning experience. This project covers foundational topics like history, backpropagation, and gradient descent, alongside advanced concepts such as parameter sharing in networks and energy-based models. Updated materials make it an indispensable resource for mastering deep learning.