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Variational AutoEncoders (VAE) Implementation

Code: https://github.com/priyammaz/PyTorch-... Today we will implement the Variational AutoEncoder! Previously we derived the loss function for the VAE here    • Mathing the Variational AutoEncoder: Deriv...   This is pretty similar to the basic AutoEncoder, just some new tricks to get it all to work! I think VAEs are some of the coolest things about Neural Networks, but they have some challenges and limitations that I want to explore today! Timestamps: 00:00:00 Introduction 00:01:00 AutoEncoders vs Variational AutoEncoders 00:02:45 How do VAEs map to Gaussian? 00:09:15 Reparamaterization Trick 00:29:30 LogVariance 00:31:16 Linear VAE 00:45:20 Writing the VAE Loss Function 00:58:20 Training a VAE 01:00:40 Comparing KL Weights 01:02:15 Generating New Samples 01:10:54 Convolutional VAE 01:26:44 ConvVAE Results 01:31:45 Perceptual Loss Functions 01:33:33 Recap Socials! X   / data_adventurer   Instagram   / nixielights   Linkedin   / priyammaz   Discord   / discord   🚀 Github: https://github.com/priyammaz 🌐 Website: https://www.priyammazumdar.com/