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 ...
Deep Learning with Yacine on MSN

AdamW optimizer from scratch in Python – step-by-step tutorial

Build the AdamW optimizer from scratch in Python. Learn how it improves training stability and generalization in deep learning models. #AdamW #DeepLearning #PythonTutorial ...
IEEE

Deep Learning-Based DOA Estimation

Abstract: Direction-of-arrival (DOA) estimation is a vital research topic in array signal processing, with extensive applications in many fields. In recent years, deep learning has been applied to DOA ...
GitHub

Learn PyTorch for Deep Learning

00 - PyTorch Fundamentals Many fundamental PyTorch operations used for deep learning and neural networks. Go to exercises & extra-curriculum Go to slides 01 - PyTorch Workflow Provides an outline for ...
GitHub

TabM: Advancing Tabular Deep Learning With Parameter-Efficient Ensembling" (ICLR 2025)

This is the official repository of the paper "TabM: Advancing Tabular Deep Learning With Parameter-Efficient Ensembling". It consists of two parts: One dot represents a performance score on one ...
IEEE

Phishing Website Detection Using Deep Learning Models

Abstract: This research addresses the imperative need for advanced detection mechanisms for the identification of phishing websites. For this purpose, we explore state-of-the-art machine learning, ...