Latent Space is how neural networks store information. In this video, we discuss Autoencoders and Variational Autoencoders and how we can explore, interpret, and manipulate images by looking at it's latent space representations. The CelebA dataset and the DFCVAE model (https://arxiv.org/abs/1610.00291) shows some pretty interesting results that I found super enlightening about this mysterious topic of Machine Learning.


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Timestamps
0:00: Intro
0:48: Intuition
2:11: Autoencoders
2:50: Nearest Neighbor Search
4:30: VAE and Generative AI
5:41: Latent Space Arithmetic
8:05: Finding patterns and trends