Deep Learning with Yacine on MSN

Adadelta optimizer explained – Python tutorial for beginners & pros

Learn how to implement the Adadelta optimization algorithm from scratch in Python. This tutorial explains the math behind ...
Deep Learning with Yacine on MSN

Nadam optimizer explained: Python tutorial for beginners & pros

Learn how to implement the Nadam optimizer from scratch in Python. This tutorial walks you through the math behind Nadam, ...
IEEE

Client Sampling for Communication-Efficient Distributed Minimax Optimization

Abstract: Distributed minimax optimization is essential for robust federated learning, offering resiliency against the variability in data distribution. Most previous works focus only on learning ...
GitHub

Biconjugate Gradient Stabilized Algorithm

The goal of this assignment was to develop a program in C that is capable of solving first-order linear systems of equations. These systems are of the form Ax=b, where A is a known matrix, b is a ...

Alibaba supports multimodal AI startup MiniMax in its IPO launch: report

The startup hopes to raise a minimum of $492M from selling more than 25M shares during its IPO on January 9, the report said.
IEEE

Constraint Programming Based Model and Algorithm for Solving Steelmaking and Continuous Casting Scheduling Problem with Adjustable Casting Time

Abstract: The Steelmaking-Continuous Casting (SCC) scheduling problem is usually regarded as a type of hybrid flow-shop scheduling problems (HFSP) with special process constraints. To research the SCC ...