Chapter 5: Exploring Variational Autoencoders (VAEs)
Welcome to Chapter 5 of our journey, where we delve deep into the world of Variational Autoencoders (VAEs). After exploring Generative Adversarial Networks (GANs) and experiencing their potential firsthand in the previous chapter, we now turn our attention to another revolutionary generative model that has contributed significantly to the advancement of machine learning and AI.
Variational Autoencoders, or VAEs, have become increasingly popular in recent years due to their ability to provide a probabilistic manner for describing an observation in latent space, which in turn has led to a wide range of applications in various fields such as image and speech recognition, natural language processing, ...
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