Mathing the Generative Adversarial Network скачать в хорошем качестве

Mathing the Generative Adversarial Network

Lets take a brief look at where the GAN loss comes from and how its connected to the Jensen Shannon Divergence! (Sorry for the slight rumble in the audio) Also I hope you have already taken a look at the Variational AutoEncoder    • Variational AutoEncoders (VAE) Implementation   as it gives an idea of how we can generate data from noise! Timestamps: 00:00:00 - Introduction 00:06:18 - Discriminator Loss 00:20:18 - Generator Loss 00:25:41 - Putting it Together 00:26:53 - Relation to Jensen Shannon Divergence 00:46:30 - Recap Socials! X   / data_adventurer   Instagram   / nixielights   Linkedin   / priyammaz   Discord   / discord   🚀 Github: https://github.com/priyammaz 🌐 Website: https://www.priyammazumdar.com/