Rating is available when the video has been rented.
This feature is not available right now. Please try again later.
Published on Feb 25, 2018
In this episode, we dive into Variational Autoencoders, a class of neural networks that can learn to compress data completely unsupervised!
VAE's are a very hot topic right now in unsupervised modelling of latent variables and provide a unique solution to the curse of dimensionality.
This video starts with a quick intro into normal autoencoders and then goes into VAE's and disentangled beta-VAE's. I aslo touch upon related topics like learning causal, latent representations, image segmentation and the reparameterization trick!