Nitish is a computer science undergraduate with keen interest in the field of deep learning. He has done various projects related to deep learning and closely follows the new advancements taking place in the field.
As researchers propose new goals, larger models, and unique benchmarks, the size, variety, and the number of publicly available NLP (Natural Language Processing) datasets...
Artificial intelligence and machine learning are essential technologies that may help businesses find new ways to boost sales, cut expenses, improve processes, and better...
Introduction
Deep learning neural networks, which are at the heart of modern artificial intelligence, are frequently characterized as "black boxes" with mysterious inner workings. However,...
'VanDEEPol', a hybrid AI/mechanistic model to predict brain activity and structure from imaging data, is IBM's most recent development in the field of brain...
Support Vector Machines (SVMs) are supervised learning models for classification and regression problems. Support Vector Machines(SVMs) are supervised learning models for classification and regression...
Hyperparameter optimization is an integral part of deep learning as a machine learning project is crucially dependent on the choice of good hyperparameters. Neural...
Convolutional Neural Networks(CNNs) and other deep learning networks have enabled extraordinary breakthroughs in computer vision tasks from image classification to object detection, semantic segmentation,...
Reinforcement learning is a field of machine learning wherein the goal is learning to perform specific actions in an environment which leads to finding...
Generative Adversarial Networks, or GANs, belong to generative models, which create new data instances that resemble the training data. GANs are algorithmic architectures that...
