Deep Learning with Yacine on MSN

RMSProp optimization from scratch in Python

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

Machine Learning Methods Used for Portfolio Optimization and Risk Management

Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...
Deep Learning with Yacine on MSN

How to implement stochastic gradient descent with momentum in Python

Learn how to implement SGD with momentum from scratch in Python—boost your optimization skills for deep learning.
EurekAlert!

Dynamic decision-making of UAV swarm based on constrained multi-objective optimization under incomplete interference information

UAV swarms have shown immense potential for applications ranging from disaster response to military reconnaissance, but ensuring reliable communication in contested environments has remained a ...
IEEE

Contrastive-Learning-Based Decision Making for Dynamic Time-Linkage Optimization

Abstract: In dynamic time-linkage optimization, current decisions influence the future state of environments. To make good decisions that have a positive impact on future states, existing methods ...
IEEE

A Generative Adversarial Network Based Prediction Strategy for Evolutionary Dynamic Multiobjective Optimization

Abstract: Recently, dynamic multi-objective evolutionary optimization has attracted much research attention, and the prediction based strategy has been proved to be an effective way for dynamic ...