Training a neural network is the process of finding a set of weights and bias values so that computed outputs closely match the known outputs for a collection of training data items. Once a set of ...

Deep Neural Networks are the more computationally powerful cousins to regular neural networks. Learn exactly what DNNs are and why they are the hottest topic in machine learning research.

Researchers have developed a new tool, bimodularity, that adds directionality to community detection in networks.

The Convolutional Neural Networks tutorial shows you how to build a small CNN for classifying CIFAR-10 images. You’ll want at least one GPU if you’re going to try this model—that will bring ...

The follow-on tutorial “for experts” covers some of the same material again, faster, but then shows you how to create a multilayer convolutional neural network to improve the results to about ...