Deep Learning Toolkit for LabVIEW

DeepView - Deep Learning Toolkit for LabVIEW is designed to bring the possibilities of deep learning infrastructure into LabVIEW and provide access to such machine learning applications as image recognition, object detection and speech recognition to the community of LabVIEW developers. Designed in a modular way the toolkit simplifies the process of creating, building, configuring, training and visualizing of deep neural networks in LabVIEW.

DeepVIEW was completely developed in LabVIEW and when executed on CPU does not require any external library or engine for functioning, which makes seamless the process of deploying trained systems on embedded targets for inference. 

Features:

• Create, configure, train and deploy Deep Neural Networks in LabVIEW
• Accelerate training and inference of DNNs on Nvidia GPUs
• Save trained networks (configuration and weights) and load for deployment
• Visualize DNN topology and metrics (memory footprint, computational complexity)
• NI's Real Time target support for deployment/inference
• Ready to run real world examples