A standard feed-forward neural network computes its output values in a sequential input-process-output manner. A recurrent neural network has processing nodes which send output values both forward and ...

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...

A new framework that causes artificial neural networks to mimic how real neural networks operate in the brain has been ...

Arxiv – Google Deepmind researchers have extended the capabilities of neural networks by coupling them to external memory resources, which they can interact with by attentional processes. The combined ...

In this special guest feature, Gary Baum, Vice President of Marketing at MyScript, talks about how handwriting recognition is enhancing machine (and human) learning. As an input method, handwriting ...