Introduction to Auto-encoder | Image Generation with Neural Networks using TensorFlow | GAN 01

Welcome to our course on Gan(Generative Adversarial Networks) or Image Generation with Neural Networks using TensorFlow. In this video, we'll talk about Autoencoders and implement them using the Python TensorFlow framework. Autoencoder architecture is a self-supervised or unsupervised machine-learning technique that helps us generate new images using random samples. Autoencoders were first introduced by Geoffrey Hinton. This course will cover topics like GANs, autoencoders, variational autoencoders, style transfer, and generative AI in TensorFlow. Get ready to dive into the world of image generation using neural networks!