![]() MNIST_Classifier_CNN(Train).vi - training the deep neural network for image classification task in handwritten digit recognition problem using CNN (Convolutional Neural Network) architectureģ.MNIST_Classifier(Deploy).vi deploying pretrained network by automatically loading network configuration and weights files generated from the examples above.Ĥ. MNIST_Classifier_MLP(Train).vi - training the deep neural network for image classification task in handwritten digit recognition problem (based on MNIST database) using MLP (Multilayer Perceptron) architectureĢ. Stochastic Gradient Descend (SGD) based Backpropagation algorithm with MomentumĮxamples are available to demonstrate the use of the toolkit on:ġ. NI's Real Time target support for deployment Save trained networks (configuration and weights) and load for deployment Visualize network topology and display common metrics (memory footprint, FLOPs) Note: This installer requires LabVIEW and VI Package Manager to be run with Administrator privileges.Ĭreate, configure, train and deploy Deep Neural Networks in LabVIEW The toolkit is mainly implemented in LabVIEW and does not have any outer dependencies, which simplifies the installation, development, deployment and distribution of toolkit based applications and systems (particularly, can be easily deployed on NI's Real Time targets). ![]() Deep Learning Toolkit for LabVIEW is a high-level API providing possibilities to build, configure, visualize, train, analyze and deploy Deep Learning based systems.
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