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

A Vehicle Path Planning Algorithm: QDDG-RRT

Abstract: Autonomous vehicles require highly reliable collision-free capabilities, necessitating extensive research in path planning. Path planning determines an optimal path, crucial for safe and ...
IEEE

Autonomous Parking Path Planning and Control for Unmanned Vehicles Based on Hybrid A* Algorithm and MPC Algorithm

Abstract: In recent years, autonomous parking technology has been extensively studied as a core function of unmanned driving. This paper demonstrates the implementation of an autonomous parking ...
GitHub

Visualize pixel maps or mazes, and test Dijkstra/A* algorithms to find the shortest path between two points on the map. This project is part of a biannual report for Paris ...

This project is an exercise that forms part of the semester report in the Advanced Algorithms course. It introduces the basics of graphs and shortest path search algorithms for weighted graph, which ...
Journal of Medical Internet Research

Sample Size Requirements for Popular Classification Algorithms in Tabular Clinical Data: Empirical Study

For all 4 algorithms, more balanced classes (multiplier: 0.93-0.96 for a 1% increase in minority class proportion) were associated with decreased sample size. Other characteristics varied in ...