A neural network model consists of the network's architecture and defining numeric values. Did you know you can create, save and reuse a neural network model? I'll show you how in this month's column.

The best way to understand neural networks is to build one for yourself. Let's get started with creating and training a neural network in Java.

He says attendees will leave the presentation with all the information they need to create a working neural network prediction system. Topics covered include: neural network architecture, data ...

TensorFlow is an open-source framework developed by Google scientists and engineers for numerical computing. In this article, the author explains how to use Tensorflow.NET to build a neural network.

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.

I want to add that liquid neural networks require time series data. A liquid network solution does not work on datasets consisting of static data items.

Computer-based neural networks can learn to do tasks. A new type of material, called a mechanical neural network, applies similar ideas to a physical structure.

Despite these caveats, the new work offers a template for analyzing different kinds of neural network architectures that might eventually replace transformers. If a complexity theory analysis suggests ...

Researchers create a neural network for genomics -- one that explains how it achieves accurate predictions Breakthrough offers new insights into what lies behind machine learning Date: October 9 ...