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

ABi-LSTM: Attention-Based Bidirectional-LSTM for Multiclass Traffic Agents Trajectory Prediction

Abstract: This study proposes the Attention-Based Bidirectional Long Short-Term Memory (ABi-LSTM) model for multimodal trajectory prediction of multiclass traffic agents in cross-perspective scenarios ...
IEEE

Time-Aware LSTM Neural Networks for Dynamic Personalized Recommendation on Business Intelligence

Abstract: Personalized recommendation plays a critical role in providing decision-making support for product and service analysis in the field of business intelligence. Recently, deep neural ...
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

Build k-nearest neighbors from scratch in Python – step by step tutorial

Learn how to implement the K-Nearest Neighbors (KNN) algorithm from scratch in Python! This tutorial covers the theory, ...
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 ...