Struggling to understand how logistic regression works with gradient descent? This video breaks ... so you can truly grasp this core machine learning algorithm. Perfect for students and ...

This important study demonstrates the significance of incorporating biological constraints in training neural networks to develop models that make accurate predictions under novel conditions. By ...

Abstract: This article is concerned with the multiagent optimization problem. A distributed randomized gradient-free mirror descent (DRGFMD) method is developed by introducing a randomized ...

This fundamental study combines in vitro reconstitution experiments and molecular dynamics simulations to elucidate how membrane lipids are transported from the outer to the inner membrane of ...

In this paper, we propose a novel distributed Stochastic Gradient Descent (SGD) algorithm named Grouping-SGD for distributed deep learning, which converges faster than Sync-SGD, Async-SGD, and ...

Picking the right artificial intelligence and machine learning book depends on your current knowledge and what you want to ...

This project is the first step into AI and Machine Learning under 42 curriculum at Hive Helsinki. Basic machine learning algorithm and program that predicts the price of a car by using a linear ...

A neural network library written from scratch in Rust along with a web-based application for building + training neural networks + visualizing their outputs ...