Author: Amal Mathai

Generative models and discriminative models are two fundamental approaches in machine learning, each with its unique characteristics and applications. Generative Models: Generative models are a class of models that learn the underlying probability distribution of the input data. Instead of merely discriminating between different classes or categories, generative models aim to generate new samples that… Continue reading Understanding the Basics of Generative Models and Their Distinction from Discriminative Models

Generative Adversarial Networks (GANs) have garnered significant attention in the field of artificial intelligence for their ability to generate realistic data samples. Understanding the basic architecture of GANs is essential for grasping how these models work and how they produce such impressive results. At its core, a GAN consists of two neural networks: the generator… Continue reading Understanding the Basic Architecture of Generative Adversarial Networks (GANs)

Generative Adversarial Networks (GANs) have emerged as a revolutionary breakthrough in the field of artificial intelligence, transforming the way we approach creative tasks such as image generation, style transfer, and content creation. Conceived by Ian Goodfellow and his colleagues in 2014, Generative Adversarial Networks are a type of generative model designed to generate new, realistic… Continue reading An Exploration of Generative Adversarial Networks (GANs)

In the vast landscape of artificial intelligence, neural networks stand as the foundational building blocks, mimicking the human brain’s structure to process information and make intelligent decisions. At its core, a neural network is a computational model inspired by the human brain. It consists of interconnected nodes, or neurons, organized in layers, each layer contributing… Continue reading An Intro to Basic Neural Networks

In the dynamic world of artificial intelligence, generative models are emerging as powerful tools, capable of creating new and diverse data. At its essence, generative models are a class of artificial intelligence algorithms designed to generate data that mimics the characteristics of a given dataset. Unlike traditional models that focus on classification or prediction, generative… Continue reading Generative Models: A Simple Overview

In the vast realm of artificial intelligence, Generative AI is making waves by creating new and unique data. Unlike traditional models, generative ones aim to generate content resembling their training data. Let’s dive into the basics and explore the key concepts and exciting applications of Generative AI. Key Concepts: Generative Models: These models learn patterns… Continue reading An Intro to Generative AI: Unleashing Creativity