How to use DLHUB
This video guides you to develop a convolution network for the well-known MNIST hand-writing classification project.
With easy to follow the step-by-step guide, you will learn how to load training data, configure model, train model, and evaluate your trained model.
It also shows how the trained model can be deployed in the LabVIEW Application.
You will see the revolutionized way of configuring a network without any programming.
Video Link: https://www.youtube.com/watch?v=RZn0OUiOYs8
Real-life deployed application
This video shows a real-life application of fruit recognition, using a deep neural network that has been developed, trained, and exported by DLHUB.
It's not coding running in development mode to demonstrate concepts. It is an executable running with a simple web-cam to detect and classify fruit in real-time.
Video Link: https://www.youtube.com/watch?v=P2JUUtWKHR0