Implementing Variational Auto Encoder from Scratch in Pytorch

Описание: In this video we look at how to go about implementing VAE in pytorch from scratch using the MNIST dataset.
I also provide the repo link below where one can play with different aspects of implementation and see how it impact the generation result as well visualize latent space, generated image manifold and interpolation.
#vae #machinelearning #deeplearning

Github Repo Link - https://tinyurl.com/expai-repo-vae
Video on Understanding VAE :    • Understanding Variational Autoencoder | VA...  
Subscribe - https://tinyurl.com/exai-channel-link

Useful Links
KL Divergence of Gaussians
1. The Kullback-Leibler divergence between Gaussians -
https://tinyurl.com/gauss-vae1
2. https://tinyurl.com/gauss-vae2
3. KL Divergence between 2 Gaussian Distributions -
https://tinyurl.com/gauss-vae3


Background Track Fruits of Life by Jimena Contreras
Github Repo Link
https://tinyurl.com/expai-repo-vae
Email - [email protected]