Dive deep into Nesterov Accelerated Gradient (NAG) and learn how to implement it from scratch in Python. Perfect for ...

Build the AdamW optimizer from scratch in Python. Learn how it improves training stability and generalization in deep ...

For software developers, choosing which technologies and skills to master next has never been more difficult. Experts offer ...

Chennai: IITM Pravartak Technologies Foundation, the Technology Innovation Hub of IIT Madras has opened admissions for the ...

The seven-month programme is aimed at working professionals seeking to build production-ready artificial intelligence ...

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 ...

Deep dish pizza is synonymous with Chicago. A bread-like base topped with layers of mozzarella and chunky tomato sauce is the perfect fortification, some might argue, against the notoriously long and ...

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 ...

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 ...

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, ...