There is one famous urban legend about computer vision. Around the 80s, the US military wanted to use neural networks to automatically detect camouflaged enemy tanks. They took a number of pictures of ...

This is the code repository for 3D Neural Network Visualization with TensorSpace [Video], published by Packt. It contains all the supporting project files necessary to work through the video course ...

Neural network visualization is a powerful tool for understanding how machine learning models work, but it can also be used for other purposes beyond machine learning. In this article, you will ...

Microsoft plans to introduce cooperative vector support to DirectX, enabling cross-platform implementation of next-generation ...

In this paper, a real-time MSRA method based on a graph neural network (GNN) is proposed to effectively address multiple stability problems, including (small-disturbance and transient) rotor angle, ...

Scientists used atomic force microscopy (AFM) with deep neural networks and unsupervised machine learning to capture individual conformers under physiological conditions. Human RNAs are ...

Chaudhari's group, with their vast knowledge and resources in exploring deep neural networks, took the lead and found fast ...

Abstract: We propose a novel hybrid Convolutional Neural Network (CNN) model with one-versus-one approach to forecast solar ... (3) This is the first attempt to open the black-box CNN model to study ...