Deep Neural Networks: A Getting Started Tutorial. Deep Neural Networks are the more computationally powerful cousins to regular neural networks. Learn exactly what DNNs are and why they are the ...

Understand how Highway Networks work and why they matter for training deep neural networks. A clear, beginner-friendly guide ...

An artificial neural network, one of the many ways to implement machine learning, ... The Convolutional Neural Networks tutorial shows you how to build a small CNN for classifying CIFAR-10 images.

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 ...

While neural networks (also called “perceptrons”) have been around since the 1940s, it is only in the last several decades where they have become a major part of artificial intelligence.

The neural net “employs a feedforward neural network with a precisely calibrated 4-60-12 architecture and sigmoid activation functions.” This leads to an approximate 85% accuracy being able to ...

Researchers at University of Southern California and University of Pennsylvania recently introduced a new nonlinear dynamical modeling framework based on recurrent neural networks (RNNs) that ...

The network is hard-coded for two hidden layers. Neural networks with three or more hidden layers are rare, but can be easily created using the design pattern in this article. A challenge when working ...