Deep Learning with Yacine on MSN

Nesterov accelerated gradient (NAG) from scratch in Python – step-by-step tutorial

Dive deep into Nesterov Accelerated Gradient (NAG) and learn how to implement it from scratch in Python. Perfect for ...
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 efficiently. #RMSProp #Optimization #DeepLearning ...

Not all MMM tools are equal: Meridian, Robyn, Orbit, and Prophet explained

These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.
IEEE

A Special Points and Neural Network-Based Dynamic Multi-Objective Optimization Algorithm

Abstract: This paper introduces a special points and neural network- based dynamic multi-objective optimization algorithm (SPNN-DMOA) for solving dynamic multi-objective optimization problems (DMOPs) ...
GitHub

PhysTwin: Physics-Informed Reconstruction and Simulation of Deformable Objects from Videos

Actively Developing: In the long term, we aim to develop a comprehensive physics simulator focused on real-to-sim, serving as an easy-to-use platform for XR, VR, and robotics applications. Feel free ...
IEEE

Dynamic Multiobjective Optimization Algorithm Guided by Recurrent Neural Network

Abstract: In recent years, prediction-based algorithms have attracted much attention for solving dynamic multiobjective optimization (DMO) problems in the evolutionary computing community. However, ...