Unlock the Secrets of Autoencoders, GANs, and Diffusion Models – Why You Must Know Them? -Day 73
Understanding Autoencoders, GANs, and Diffusion Models – A Deep Dive In this post, we’ll explore three key models in machine learning: Autoencoders, GANs (Generative Adversarial Networks), and Diffusion Models. These models, used for unsupervised learning, play a crucial role in tasks such as dimensionality reduction, feature extraction, and generating realistic data. We’ll look at how each model works, their architecture, and practical examples. What Are Autoencoders? Autoencoders are neural networks designed to compress input data into dense representations (known as latent representations) and then reconstruct it back to the original form. The goal is to minimize the difference between the...