Learn how gradient descent really works by building it step by step in Python. No libraries, no shortcuts—just pure math and code made simple. FBI: Vance Boelter went to other lawmakers' homes ...

Description When running the python example python/gtsam/examples/OdometryExample.py I came across the an issue on OdometryExample.py:65 in the usage of gtsam_plot ...

This repository implement MFEA-II MFEA-II Official Matlab Version. Tested on MTSOO benchmark. This repo could be used as a template or starter code for conducting multitasking optimization on other ...

Learn how to implement SGD with momentum from scratch in Python—boost your optimization skills for deep learning. Deep Learning with Yacine Posted: May 29, 2025 | Last updated: May 29, 2025 ...

Meta-learning provides a promising solution to the issue of insufficient training samples in Pumi spectrogram recognition. However, capturing model uncertainty remains a critical challenge, ...

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