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, ...
WinBuzzer

DeepSeek Unveils ‘mHC’ Architecture to Fix AI Training Instability Amid Chip Bans

DeepSeek has introduced Manifold-Constrained Hyper-Connections (mHC), a novel architecture that stabilizes AI training and ...
IEEE

Distributed Constrained Continuous-Time Optimization With Input and Interaction Constraints

Abstract: As is well known, it is challenging to address the convergence for distributed constrained optimization problem, in particular when nonconvex constraints, nonuniform step-sizes (nonuniform ...
IEEE

Adaptive Multi/Many-Objective Transformation for Constrained Optimization

Abstract: Transforming a constrained optimization problem (COP) into a multi/many-objective optimization problem (MOP/MaOP) represents a practical approach for solving COPs. This article introduces an ...
GitHub

Porcupy: Crested Porcupine Optimizer

Porcupy implements the Crested Porcupine Optimizer (CPO), a nature-inspired metaheuristic that mimics porcupine defense mechanisms for optimization. It offers both object-oriented and procedural ...