So you would like to try to use generative deep learning models for a small side project? Or maybe you only want to have a better understanding of the latent spaces inside a deep neural net, gain an insight on random sampling inside an NN or learn about the mysterious reparametrization trick?
In any case, join us to explore the family of generative models based on the autoencoder architecture. In this talk you will get an intro to Autoencoders (AE), Variational Autoencoders (CAE), Categorical VAE (CVAE), unsupervised VAE and semi supervised VAE.
Keep your headsets ready for a QnA on discord!