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