Coding Variational Auto-Encoder | Image Generation with Neural Networks using TensorFlow | GAN 04

Welcome to our course on Gan(Generative Adversarial Networks) or Image Generation with Neural Networks using TensorFlow. In this video, we'll talk about Variational Autoencoders or VAE and implement them using the Python TensorFlow framework. Variational Autoencoder architecture is a self-supervised or unsupervised machine-learning technique that helps us generate new images using random samples that belong to normal distribution. We'll learn about parameterization techniques and also cover the theory of the Kullback-Leibler Divergence loss function. This course will cover topics like GANs ( generative adversarial networks ), autoencoders, variational autoencoders, style transfer, and generative AI in TensorFlow. Get ready to dive into the world of image generation using neural networks!