Category: Neural Network
What Are Graph Neural Networks? How GNNs Work, Explained with Examples
Graph Neural Networks are getting more and more popular and are being used extensively in a wide variety of projects….
Neural networks increase the accuracy of monolithic PET detectors – Physics World
Gamma ray detectors used in positron emission tomography (PET) scanners must combine high spatial, timing and energy resolution with excellent…
Is Gradient Descent Sufficient for Neural Network Models
An important factor that is the basis of any Neural Network is the Optimizer, which is used to train the…
Develop a Neural Network for Woods Mammography Dataset
It can be challenging to develop a neural network predictive model for a new dataset. One approach is to first…
Develop a Neural Network for Banknote Authentication
It can be challenging to develop a neural network predictive model for a new dataset. One approach is to first…
26 March 1991: Neural nets learn to program neural nets with fast weights—like today’s Transformer variants. 2021: New stuff!
Abstract. How can artificial neural networks (NNs) process sequential data such as videos, speech, and text? Traditionally this is done…