Thank you for purchasing ANNHub software. The ANNHub is designed in such a way that provides simple but elegant solutions to bring artificial intelligence (AI) to your existing and/or new applications.
Key features of the ANNHub
- Easy to use: Does not require deep machine learning knowledge to design neural network model(s). No coding is required in five-step design flow.
- Support advanced training algorithms: Scaled Conjugate Gradient, Levenberg Marquardt, Quasi-Newton, Bayesian Regularization (Bayesian Neural Network).
- Support different types of activations functions and cost functions.
- Support Confusion matrix, ROC curves, regression curves, performance metrics to evaluate trained neural network model(s).
- Easy to deploy trained neural network model(s) to different environments, including LabVIEW, LabWindow CVI, C, C++, C#, Swift, R, Java…
Notes: In terms of Artificial Intelligence, Deep Learning is subfield of Machine Learning. This ANNHub supports Machine Learning with supervised training techniques. Deep Learning will be supported in DLHub software, and unsupervised training techniques will be supported in the future release of this ANNHub software.