Meghana

Artificial Intelligence / Machine Learning

Leveraging Transfer Learning: Boosting Image Classification with Pre-trained Models

Introduction: Image classification is the task of categorizing images into predefined classes based on their visual features. It involves training a model to recognize and assign class labels to images, enabling applications like object recognition and facial recognition, but training deep learning models from scratch can be time-consuming and computationally
4 min read
Artificial Intelligence / Machine Learning

Understanding the WGAN: A Breakthrough in Generative Adversarial Networks

Introduction Generative Adversarial Networks (GANs) have revolutionized the field of deep learning by enabling the creation of realistic and high-quality synthetic data. While GANs have demonstrated impressive results, they suffer from certain limitations, such as unstable training and mode collapse. In 2017, a new variant called Wasserstein GAN (WGAN) was
3 min read