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Enhancing Deep Neural Networks with Architectural Optimization Techniques

In the ever-evolving world of artificial intelligence, deep neural networks (DNNs) have revolutionized data processing, offering unparalleled accuracy across various ...
Visual Studio Magazine

Neural Network Train-Validate-Test Stopping

The train-validate-test process is hard to sum up in a few words, but trust me that you'll want to know how it's done to avoid the issue of model overfitting when making predictions on new data. The ...
Visual Studio Magazine

Neural Network Training Using Back-Propagation

Neural networks can be used to classify data and make predictions. For example, you might want to predict the political party affiliation (Democrat, Republican, Independent) of a person based on ...
InfoWorld

Styles of machine learning: Intro to neural networks

Modeled on the human brain, neural networks are one of the most common styles of machine learning. Get started with the basic design and concepts of artificial neural networks. Artificial intelligence ...
Scientific American

What is a neural network and how does its operation differ from that of a digital computer? (In other words, is the brain like a computer?)

Mohamad Hassoun, author of Fundamentals of Artificial Neural Networks (MIT Press, 1995) and a professor of electrical and computer engineering at Wayne State University, adapts an introductory section ...
Science Daily

3-D neural structure guided with biocompatible nanofiber scaffolds and hydrogels

Neural tissue may be reconstructed with biocompatible nanofiber scaffolding and 3-D hydrogels, holding much promise for repairing damaged neural tissue. Damage to neural tissue is typically permanent ...