Deep Learning with Yacine on MSN

Learn backpropagation derivation step by step – neural networks made easy

Master the derivation of backpropagation with a clear, step-by-step explanation! Understand how neural networks compute ...
The Brighterside of News on MSN

Rutgers research explains why brains think at different speeds

A Rutgers Health study in "Nature Communications" shows how fast and slow brain signals integrate through neural wiring, led ...

The Reeve Foundation and Spinal Research Award New Grants to Advance Traumatic Spinal Cord Injury Treatments

PRNewswire/ – The Christopher & Dana Reeve Foundation and Spinal Research have announced $1.5 million in grants to support four preclinical studies focused on developing new treatments for traumatic ...

MicroCloud Hologram Inc. Releases Learnable Quantum Spectral Filter Technology for Hybrid Graph Neural Networks

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, released learnable quantum spectral filter technology for hybrid graph neural networks. This ...
IEEE

KBStyle: Fast Style Transfer Using a 200 KB Network With Symmetric Knowledge Distillation

Abstract: Convolutional Neural Networks (CNNs) have achieved remarkable progress in arbitrary artistic style transfer. However, the model size of existing state-of-the-art (SOTA) style transfer ...
IEEE

Bidirectional Progressive Neural Networks With Episodic Return Progress for Emergent Task Sequencing and Robotic Skill Transfer

Abstract: Human brain and behavior provide a rich venue that can inspire novel control and learning methods for robotics. In an attempt to exemplify such a development by inspiring how humans acquire ...
GitHub

Training-free Fourier Phase Diffusion for Style Transfer

Diffusion models have shown significant potential for image style transfer tasks. However, achieving effective stylization while preserving content in a training-free setting remains a challenging ...