VQ-VAE | Everything you need to know about it | Explanation and Implementation

In this video I go over Vector Quantised Variational Auto Encoder(VQVAE). Specifically I talk over how its different from VAE, its theory and implementation. I also train a VQVAE model and show how the generation process looks like after we have trained a VQVAE model. Timestamps -------------------- 00:00 Intro 00:27 Need and difference from VAE 02:43 VQVAE Components 04:31 Argmin and Straight Through Gradient Estimation 07:11 Codebook and Commitment Loss 08:45 KL Divergence Loss 09:30 Implementation 12:35 Visualization 14:29 Generating Images 16:37 Outro *Paper Link* - https://tinyurl.com/exai-vqvae-paper *Subscribe* - https://tinyurl.com/exai-channel-link Inspiration of visualization of embedding taken from - https://www.youtube.com/watch?v=GgX_6Ce41-c&pp=ygUFdnF2YWU%3D Github Repo Link - https://tinyurl.com/exai-vqvae-repo (Will be updated soon) Background Track Fruits of Life by Jimena Contreras Email - [email protected]