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

LSTM-Based Model Compression for CAN Security in Intelligent Vehicles

Abstract: The rapid deployment and low-cost inference of controller area network (CAN) bus anomaly detection models on intelligent vehicles can drive the development of the Green Internet of Vehicles.
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 ...
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, explains how it builds on Adam with Nesterov momentum, and shows you how to ...
IEEE

GAP-LSTM: Graph-Based Autocorrelation Preserving Networks for Geo-Distributed Forecasting

Abstract: Forecasting methods are important decision support tools in geo-distributed sensor networks. However, challenges such as the multivariate nature of data, the existence of multiple nodes, and ...
GitHub

Getting started with Ollama for Python

So far, running LLMs has required a large amount of computing resources, mainly GPUs. Running locally, a simple prompt with a typical LLM takes on an average Mac ...