Generative Adversarial Networks (GANs) have revolutionized the field of artificial intelligence, enabling the creation of realistic images from scratch. In this tutorial, we’ll dive into the implementation of a Deep Convolutional Generative Adversarial Network (DCGAN) specifically designed for generating Anime faces. Whether you’re a coding enthusiast or an anime aficionado, join us on this creative…
In the realm of generative models, the emergence of Deep Convolutional Generative Adversarial Networks (DCGAN) has marked a significant breakthrough. DCGAN represent an evolution of the traditional Generative Adversarial Networks (GAN), enhancing their capabilities in generating high-quality, realistic images. What is DCGAN? DCGANs are a class of neural networks that leverage convolutional layers for both…
In this tutorial, we will implement the Conditional GAN (Generative Adversarial Network) in TensorFlow using Keras API. For this purpose, we will use the Shoe vs Sandal vs Boot Image dataset. What is Conditional GAN Conditional GAN, known as cGAN, is an extension of the traditional GAN framework introduced by Ian Goodfellow and his colleagues…
In the rapidly evolving landscape of artificial intelligence and machine learning, Generative Adversarial Networks (GANs) have emerged as a revolutionary approach to generating data that mimics real-world distributions. One intriguing development within this realm is the Conditional GAN, an extension of the classic GAN architecture that introduces the concept of conditioning. This blog post delves…
This tutorial will teach you how to implement basic Generative Adversarial Networks (GANs) in TensorFlow using Keras API. For this purpose, we will utilize the Anime Face Dataset and try to generate realistic anime faces. What is GAN GAN stands for Generative Adversarial Network, a framework in which two neural networks, a generator and a…
The field of machine learning is thriving with a plethora of algorithms that can be used to solve a wide range of problems. One such algorithm is the k-Nearest Neighbor (k-NN), which is a simple yet powerful non-parametric method used for classification and regression tasks. In this article, we will delve into the world of…
Artificial Intelligence (AI) has become an indispensable aspect of modern technology, primarily due to the learning capabilities of AI algorithms from a dataset. This has led to the growth of machine learning, a branch of AI that enables machines to learn and improve from experience without explicit programming. Machine learning is broadly categorized into three…
Artificial Intelligence (AI) has been improving and plays a vital role in our daily lives. One of the most popular tests for determining the intelligence of a machine is the Turing Test, proposed by Alan Turing in 1950. However, the Turing Test has faced criticism, one of which is the Chinese Room Test proposed by…
Artificial Intelligence (AI) has been a buzzword for a while now, and the technology is growing at an unprecedented rate. With the rise in AI, machines are becoming increasingly intelligent and able to perform tasks that were once considered the sole domain of humans. In this article, we will discuss different types of AI. What…
Artificial intelligence (AI) is one of the most rapidly developing technologies of our time. It is a branch of computer science that involves creating intelligent machines that can perform tasks that would typically require human intelligence. AI is already changing the world as we know it, and its potential impact is significant. In this article,…
Nikhil Kumar Tomar
AI Researcher and a part-time blogger and YouTuber. Most of my research is focused medical imaging.
