Introduction: Painting Pictures with Neural Networks Using VAEs
Explore how variational autoencoders help generate and reconstruct complex images by creating low-dimensional data representations. Understand the principles of variational methods, reparameterization tricks, and inverse autoregressive flow to stabilize and tune outputs. Gain practical knowledge on implementing VAEs with TensorFlow for generative AI applications.
We'll cover the following...
We'll cover the following...
In this chapter, we’ll discuss a class of generative models known as variational autoencoders (VAEs). These models are designed to make the generation of these complex, real-world images more tractable and tunable. They do ...