Conditional GAN in TensorFlow

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 Continue Reading

What is a Conditional GAN: Unleashing the Power of Context in Generative Models

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 Continue Reading

Vanilla GAN in TensorFlow

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 Continue Reading

Types of Machine Learning

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 Continue Reading

Read 3D NIFTI Images in Python3

Medical imaging is an essential tool in the diagnosis, treatment, and monitoring of various medical conditions. One of the most widely used medical imaging techniques is Magnetic Resonance Imaging (MRI), which produces three-dimensional images of the human body. These images are saved in a standard file format called NIFTI, which Continue Reading

Attention UNET in PyTorch

In this article, we are going to learn about the Attention UNET and then implement it in the PyTorch framework. Attention UNET is a type of Convolutional Neural Network (CNN) that is commonly used for image segmentation tasks. It is an extension of the original U-Net architecture, which was proposed Continue Reading