A highly regarded research direction is “Physical Neural Networks” (PNNs), which utilize physical systems like light, ...

Such introductory courses typically cover multiple branches of AI, such as the fundamentals of AI, machine learning, neural ...

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single ...

During the making of an AI model, Performance metrics like accuracy, precision, recall, F1-score, ROC curves are used to ...

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.

Abstract: Quantum Machine Learning refers to the interdisciplinary area of research, blending principles from quantum physics and machine learning that can process information on quantum computers.

Mini Batch Gradient Descent is an algorithm that helps to speed up learning while dealing with a large dataset. Instead of updating the weight parameters after assessing the entire dataset, Mini Batch ...

The first chapter of Neural Networks, Tricks of the Trade strongly advocates the stochastic back-propagation method to train neural networks. This is in fact an instance of a more general technique ...

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses stochastic gradient descent, one of two ...

ABSTRACT: Diversity, Equity, and Inclusion (DEI) initiatives are pivotal for fostering inclusive environments and promoting equal opportunities within organizations. However, the collection and ...