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 ...
IEEE

Multi-Objective Genetic Programming Assisted Stochastic Deep Reinforcement Learning for Dynamic Knowledge Integration in Transportation Networks

Abstract: Transportation Networks (TNs) play a critical role in economic and social systems, yet the dynamic nature and inherent heterogeneity of TN data pose challenges for Dynamic Knowledge ...
IEEE

Convergence Theorems for Stochastic Impulsive Systems With Application to Discrete-Time Stochastic Feedback Control

Abstract: This article is devoted to stochastic convergence theorems for stochastic impulsive systems (SISs) and their application to discrete-time stochastic feedback control (DTSFC). A general ...
GitHub

Apress/Stochastic-Finance-with-Python

This repository accompanies Stochastic Finance with Python by Avishek Nag (Apress, 2024). Download the files as a zip using the green button, or clone the repository to your machine using Git.
GitHub

Python Learning Roadmap in 30 Days

Welcome to the Python Learning Roadmap in 30 Days! This project is designed to guide you through a structured 30-day journey to learn the Python programming language from scratch and master its ...