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 ...
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

Optimizing Multi-DNN Inference on Mobile Devices through Heterogeneous Processor Co-Execution

Abstract: Deep Neural Networks (DNNs) are increasingly adopted across various industries, driving the demand for deploying their capabilities on mobile devices. However, current mobile inference ...
python-hub

Day 3: Why I’m Building 4 Services Instead of One Big App

Breaking into 4 independent services means: Scale each based on actual need (crawler needs 10 instances, matcher needs 2) Test one piece at a time (ship faster, iterate publicly) Different tech ...
GitHub

PReMM: LLM-Based Program Repair for Multi-Method Bugs via Divide and Conquer

PReMM, an LLM-based program repair framework for Multi-Method Bugs. PReMM builds on three core components: the faulty method clustering component to partition the faulty methods into clusters based on ...