A new press release stated Wolfram Research, makers of Mathematica, “Wolfram|Alpha, and the Wolfram Language, has officially launched the Wolfram Neural Net Repository. Providing immediate access to neural networks for Artificial Intelligence and machine learning applications, the repository further builds a ubiquitous layer of computational intelligence upon the Wolfram tech stack. These models are suitable for immediate evaluation, training, visualization, and transfer learning, for both experts and those new to applying AI to their work.”

“Building on the Wolfram Language Neural Net Framework introduced in 2014 with Version 10 of the Wolfram Language, the repository provides a uniform system for storing and deploying neural network models in an immediately computable form. The repository is built to be a global resource for neural net models, including those from the latest research papers, as well as ones trained or created at Wolfram Research.”

Stephen Wolfram, founder and CEO of Wolfram Research, said, “Machine learning is a field in hypergrowth right now—with interesting new results being published every week. Our goal with the Wolfram Neural Net Repository is to let people immediately integrate the latest research neural nets into their work. Like everything we do with Wolfram Language, our goal is to make everything as smooth and automated as possible, so it’s immediate to include a new neural net from the repository, with all encoding, decoding, etc. handled automatically.”

“Curated by researchers and scientists who have helped drive Wolfram Research’s 30 years of continuous R&D, the neural net models are accessible in the Wolfram Cloud and can be exported in the popular MXNet framework. These nets are suitable for a variety of applications including classification, feature extraction, image processing, language modeling, speech recognition, and regression.”

Read more at PR Newswire.

Photo credit: Wolfram Research