Learn about DenseNet, one of the most powerful deep learning architectures, in this beginner-friendly tutorial. Understand its structure, advantages, and how it’s used in real-world AI applications.

ABSTRACT: Magnetic Resonance Imaging (MRI) is commonly applied to clinical diagnostics owing to its high soft-tissue contrast and lack of invasiveness. However, its sensitivity to noise, attributable ...

Abstract: Recent advancements in deep learning have significantly improved video forensics, crucial for security and law enforcement. This field addresses video tampering detection, source ...

Objectives: Gain hands-on, code-first experience with deep learning theories, models, and skills that are useful for applications and for advancing science. We focus on how to decide which problems ...

Welcome to the Zero to Mastery Learn PyTorch for Deep Learning course, the second best place to learn PyTorch on the internet (the first being the PyTorch documentation). 00 - PyTorch Fundamentals ...

Abstract: This paper presents a sports recognition technique that applies a deep learning approach for a video data, addressing the major problems posed by traditional models which find it difficult ...

You can generate AI videos for free using Google's Veo 2 model on AI Studio. You don't need a Gemini Advanced subscription. AI Studio is meant for developers to explore and test new models. However, ...

Introduction: Deep learning has significantly advanced medical image analysis, enabling precise feature extraction and pattern recognition. However, its application in computational material science ...

Institute of Physical Chemistry (IPC) and Abbe School of Photonics (ASP), Friedrich-Schiller-Universität Jena, Helmholtzweg 4, 07743 Jena, Germany ...