Researchers have uncovered how primate brains transform flat, 2D visual inputs into rich, 3D mental representations of ...

Create a fully connected feedforward neural network from the ground up with Python — unlock the power of deep learning!

Ten years ago, Geoffrey Hinton and his University of Toronto students published the paper ImageNet Classification with Deep Convolutional Neural Networks, presenting the first convolutional neural ...

A comparative analysis of masking empirical mode decomposition and a neural network with feed-forward and back propagation along with masking empirical mode decomposition to improve the classification ...

Over the past few years, engineered neural network training algorithms based on nature-inspired algorithms have demonstrated their efficacy in proving their dominance over many traditional algorithms.

Neural networks today do everything from cameras to translations. But how do they work? And what do I need to know? A professor of computer science at the University of Dayton tells us.