A self-paced, all text, deep learning course from Yann LeCun

Learn Deep Learning from the legend himself - Yann LeCun.

Here’s a course he taught in Spring 2020 for the NYU Center of Data Science.

It’s a PyTorch based course with ample theory and code examples plus a tonne of lecture notes!

And it’s all free!

A sample of topics covered in the course:

  • Neural Network training
  • Parameter transformation
  • Convolutional Network
  • Training RNN
  • Energy-Based Models
  • Self supervised learning
  • Autoencoders
  • Contrastive methods
  • Regularised latent
  • Training VAEs
  • Sparsity
  • World model, GANs
  • Predictive Control
  • Activations
  • Losses
  • DL for NLP
  • Attention & transformer
  • Graph Convolutional Networks
  • Structured Prediction
  • Graphical methods
  • Regularisation and Bayesian Inference for Latent-Variable EBMs
  • Training Latent-Variable EBMs

Check it out here: DEEP LEARNING · Deep Learning