In this video I deep dive into Variational Autoencoder (VAE) . If you're interested in understanding the inner workings of Variational Autoencoders, and how it differs from traditional autoencoder, you're in the right place.
🔍 In this video, we'll cover the following key points:
What is a Variational Autoencoder (VAE) and how does it work?
Difference between Autoencoder and Variational Autoencoder.
The loss function used in Variational Autoencoder to optimize their training.
Building your very own Variational Autoencoder
Conditional VAE (Conditional Variational Autoencoder)
Resources Used in Making Video
1. Understanding Variational Autoencoders (VAEs) - [ Ссылка ]
2. Ali Ghodsi, Lec : Deep Learning, Variational Autoencoder, Oct 12 2017 [Lect 6.2] - [ Ссылка ]
3. Variational Autoencoders (VAEs): Generative AI I - [ Ссылка ]
Helpful Links
KL Divergence
1. Wikipedia - [ Ссылка ]
2. [ Ссылка ]
Computing P(x)
1. Sec 2.1 - [ Ссылка ]
2. [ Ссылка ]
3. [ Ссылка ]
Background Track - Fruits of Life by Jimena Contreras
Email : explainingai.official@gmail.com
Understanding Variational Autoencoder | VAE Explained
Теги
Variational Auto Encodersunderstanding vaeunderstanding variational auto encoderunderstanding variational auto encodersmachine learningvariational autoencoderwhat is variational autoencoderhow variational autoencoder worksvariational autoencoder loss functionvariational autoencoder (vae)building variational autoencoderdifference autoencoder variational autoencodervariational autoencoders imagedeep learningunderstanding variational autoencoder
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