Category: GAN

Highlights: In this post, we will talk about autoencoders. In particular, you will gain a deeper insight into the working mechanisms of autoencoders. They are important machine learning models for data compression, analysis, and data modeling. Moreover, we will present several autoencoder architectures and show how they can be implemented in PyTorch. So, let’s get started! Tutorial Overview: Introduction to Autoencoders Image Reconstruction in Autoencoders Autoencoder based on a Fully Connected Neural Network implemented in…
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Highlights: In the last few years, Generative Adversarial Networks (GANs) have gained a lot of attention in both research and engineering circles. Generative Models of today are what Conv Nets were 4 to 8 years ago. We might say they are the trend these days. In this tutorial, we will learn how and why GANs became this popular, their brief history, and their evolution over the past three decades. So let’s begin! Tutorial Overview: The…
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