Deep Learning with Yacine on MSNOpinion

What are 1x1 convolutions in deep learning – explained simply

Understand how 1x1 convolutions work and why they’re essential in modern neural network architectures like ResNet and ...
IEEE

Hybrid ResNet-ViT Transfer Learning Approach for Brain Stroke Classification on Computed Tomography Images

Abstract: This study investigates the utilization of a hybrid Convolutional Neural Network (CNN) and Vision Transformer (ViT) model, employing transfer learning methods, to enhance brain stroke ...
IEEE

Hi-ResNet: Edge Detail Enhancement for High-Resolution Remote Sensing Segmentation

Abstract: High-resolution remote sensing (HRS) semantic segmentation extracts key objects from high-resolution coverage areas. However, objects of the same category within HRS images generally show ...

DeepSeek pitches new route to scale AI, but researchers call for more testing

DeepSeek's proposed "mHC" design could change how AI models are trained, but experts caution it still needs to prove itself at scale DeepSeek's proposed "mHC" architecture could transform the training ...