ANNAPI
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Version 1.0.0.10
Description
LabVIEW Application Programming Interface (API) to use with Artificial Neural Network Hub (ANNHUB) software. 

ANNHUB software simplifies machine learning design and deployment for LabVIEW applications.

Key features of the ANNHUB
- Easy to use: Does not require expertise knowledge to design an AI model(s). No coding required, and straight forward 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 the trained neural network model(s).
- Easy to deploy trained neural network model(s) to different environments, including LabVIEW, LabWindow CVI, C, C++, C#, Python, R, Swift, Java?


ANNAPI's recommended system requirements:

Development System
Windows 7 (x86 or x64) and above (x64 recommended).
ANNHUB software (https://www.anscenter.com/Customer/Products/Download/annhub)
8GB of RAM (16GB recommended).
Intel x86 based architectures (Core-i7 and above recommended).
2GB of free disk space.
1024x768 screen resolution or higher.

Deployment System
Windows 7 (x86 or x64) and above (x64 recommended).
8GB of RAM (16GB recommended).
Intel x86 based architectures (Core-i7 and above recommended).
2GB of free disk space.
1024x768 screen resolution or higher.

Software Requirements
LabVIEW 2016 (32bit or 64bit) and above (64bit version recommended).
Release Notes
                    - Fix IRIS flower classification example
- Support ANNAPI in run-mode
- Fix ANNAPI introduction in the help file.
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Release date
July 26, 2019
Version history
1.0.0.10