This file is an executable and it provides an interface that allows one to download and install LabVIEW, a variety of add-ons, and drivers. First, download the web-based installer for LabVIEW 2019 SP1 using the link below and note the location of the downloaded file. Object_Detection (project) - demonstrates training of neural network for object detection on simple dataset. Download Web-Based Installer for NI Software. YOLO_GPU (project) - demonstrates the process of accelerating YOLO object detection network for deployment on GPUs. YOLO_Object_Detection(Cam).vi - demonstrates the process of deploying pretrained network for object detection based on YOLO (You Only Look Once) architecture. MNIST_CNN_GPU (project) - demonstrates the process of accelerating training and deployment on GPUs. MNIST(RT_Deployment) (project) - demonstrates the deploying pretrained model on NI's Real-Time targets. MNIST_Classifier(Deploy).vi - demonstrates the process of deploying pretrained network by automatically loading network configuration and weights files generated from the examples above. MNIST_Classifier_CNN(Train).vi - demonstrates the process of programmatically building and training deep neural networks for image classification task of handwritten digit recognition (based on MNIST dataset) by using CNN (Convolutional Neural Network) architecture MNIST_Classifier_MLP(Train_1D).vi and MNIST_Classifier_MLP(Train_3D).vi - demonstrates the process of programmatically building and training deep neural networks for image classification task of handwritten digit recognition (based on MNIST dataset) by using MLP (Multilayer Perceptron) architecture. LabVIEW install path\examples\Ngene\Deep Learning Toolkit Reference examples are part of the toolkit which can be found with the following path:
0 Comments
Leave a Reply. |