NYU-DLSP20 and NYU-DLSP21
These are successive iterations of the same course curriculum, where the 2021 version supersedes the 2020 version with updated content, making them sequential educational resources rather than tools designed to be used together.
About NYU-DLSP20
Atcold/NYU-DLSP20
NYU Deep Learning Spring 2020
This project provides the full course materials for NYU's Deep Learning Spring 2020 course. It offers lecture videos and textual explanations alongside interactive Jupyter Notebooks for hands-on exercises. It's designed for students or self-learners who want to study deep learning concepts and practice coding models.
About NYU-DLSP21
Atcold/NYU-DLSP21
NYU Deep Learning Spring 2021
This project provides an updated set of course materials for advanced deep learning topics, including lecture slides and Jupyter notebooks. It covers concepts like backpropagation, recurrent and convolutional networks, and latent variable energy-based models, with a focus on building upon foundational knowledge. It's designed for students and self-learners engaging with advanced deep learning curricula.
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