01-introduction-to-pytorch.html
01-introduction-to-pytorch.ipynb
02-activation-functions.html
02-activation-functions.ipynb
03-initialization-and-optimization.html
03-initialization-and-optimization.ipynb
04-inception-resnet-densenet.html
04-inception-resnet-densenet.ipynb
05-transformers-and-MH-attention.html
05-transformers-and-MH-attention.ipynb
06-graph-neural-networks.html
06-graph-neural-networks.ipynb
07-deep-energy-based-generative-models.html
07-deep-energy-based-generative-models.ipynb
08-deep-autoencoders.html
08-deep-autoencoders.ipynb
09-normalizing-flows.html
09-normalizing-flows.ipynb
10-autoregressive-image-modeling.html
10-autoregressive-image-modeling.ipynb
11-vision-transformer.html
11-vision-transformer.ipynb
12-meta-learning.html
12-meta-learning.ipynb
13-contrastive-learning.html
13-contrastive-learning.ipynb