Understand and implement the RMSProp optimization algorithm in Python. Essential for training deep neural networks ...

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...

When Edsger W. Dijkstra published his algorithm in 1959, computer networks were barely a thing. The algorithm in question found the shortest path between any two nodes on a graph, with a variant ...

Modern neural networks are “VIP-class” technologies for one simple reason — they spontaneously entered the digital world and firmly established themselves within it. Today, artificial intelligence is ...

Hamza is a gaming enthusiast and a Writing Specialist from Pakistan. A firm believer in Keyboard/Mouse supremacy, he will play Tekken with WASD if you let him. He has been writing about games since ...

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...

Abstract: Neural network related machine learning algorithms, inspired by biological neuron interaction mechanisms, are advancing rapidly in the field of computing. This development may be leveraged ...

1 School of Mechanical Engineering, Vellore Institute of Technology, Chennai, India 2 Centre for e-Automation Technologies, Vellore Institute of Technology, Chennai, India Introduction: Friction Stir ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of neural network quantile regression. The goal of a quantile regression problem is to predict a single numeric ...