Example of U-Net: Convolutional Networks for Biomedical Image Segmentation.
LabVIEW deep learning application examples
Find an example of a pedagogical application to better understand how HAIBAL works.
Multi inputs/outputs signal prediction
Example of multi inputs/outputs model aim to explain how to design, train, run and integrate a model easily inside a LabVIEW architecture by using signal generation dataset.
Model is integrated inside a state machine architecture and has two inputs and two outputs.
Signal prediction Dense neural network
Example of a 1D DNN (dense neural network) aim to explain how to design, train, run and integrate a model easily inside a LabVIEW architecture by using signal generation dataset.
Model is integrated inside a state machine architecture.
MNIST Convolutional neural network
Example of a 2D CNN (convolutional neural network) aim to explain how to design, train, run and integrate a model easily inside a LabVIEW architecture by using the famous MNIST dataset.
Model is integrated inside a queue message handler architecture.
MNIST Dense neural network
Example of a 1D DNN (dense neural network) aim to explain how to design, train, run and integrate a model easily inside a LabVIEW architecture by using the famous MNIST dataset.
Model is integrated inside a queue message handler architecture.