Atcold/NYU-DLSP21 resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1675 stars · 298 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Course materials for NYU's Deep Learning (DS-GA 1008) Spring 2021 class taught by Yann LeCun and Alfredo Canziani, including slides, Jupyter notebooks, lecture transcriptions, and homework assignments. It covers backpropagation, CNNs and RNNs, energy-based models, transformers, graph networks, and control.

Use cases

• learn deep learning fundamentals from Yann LeCun's NYU course
• study energy-based models with lecture notes and notebooks
• find Jupyter notebook practicums for backpropagation and gradient descent
• understand CNNs and RNNs through course slides and videos
• self-study a university-level deep learning curriculum
• learn about latent variable energy based models and autoencoders

When to choose

• you want free, structured university course material on deep learning
• you prefer learning with a mix of videos, slides, and runnable notebooks
• you specifically want deep coverage of energy-based models

When to avoid

• you need a software library or tool rather than educational content
• you want a course with graded assignments or certificates
• you need up-to-date material covering the latest LLM techniques

Facets

learning-resource · maturity stable

deep-learning machine-learning deep-learning machine-learning tutorials education python cross-platform nyu yann-lecun energy-based-models jupyter-notebooks course-material pytorch lectures

Member repositories

For agents

markdown · JSON · MCP: product_card(name="Atcold/NYU-DLSP21")