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Beginner’s Guide

In this quick tutorial section, we will design, summarize, execute, train, dimensionize data and setup parameters the simple DNN model drawn below (Dense neural network).

How to design a model ?

This section will quick guide you to show the model design system of the HAIBAL deep learning toolkit for LabVIEW.

Let’s start by designing a simple model.

Code used for this video

You can drop this snippet onto the block diagram and get the depicted code added to your VI (do not forget to install HAIBAL library before).

How to summarize a model ?

This section will quick guide you to show how to summarize a model with the HAIBAL deep learning toolkit for LabVIEW.

Code used for this video

You can drop this snippet onto the block diagram and get the depicted code added to your VI (do not forget to install HAIBAL library before).

How to review and edit the parameters of a model?

Get Parameters from model

This section explains how to get parameters from a model.

Code used for this video

You can drop this snippet onto the block diagram and get the depicted code added to your VI (do not forget to install HAIBAL library before).

Set Model Parameters

This section explains how to set/edit parameters of a model.

Code used for this video

You can drop this snippet onto the block diagram and get the depicted code added to your VI (do not forget to install HAIBAL library before).

How to run a model ?

This section explains how to run a model.

Code used for this video

You can drop this snippet onto the block diagram and get the depicted code added to your VI (do not forget to install HAIBAL library before).

How to train a model ?

This section explains how to train a model.

Code used for this video

You can drop this snippet onto the block diagram and get the depicted code added to your VI (do not forget to install HAIBAL library before).

How input data dimension works ?

This section explains how inputΒ  data are dimensionned.

Code used for this video

You can drop this snippet onto the block diagram and get the depicted code added to your VI (do not forget to install HAIBAL library before).

Another example with 2D tensor input.

Code used for this video

You can drop this snippet onto the block diagram and get the depicted code added to your VI (do not forget to install HAIBAL library before).

How output data dimension works ?

This section explains how output data are dimensionned.

Code used for this video

You can drop this snippet onto the block diagram and get the depicted code added to your VI (do not forget to install HAIBAL library before).

How to fit a model ? (next release)

This section explains how to fit a model.

Fit is a simplest way to train a model (full automated wayd) but more limited possibilities.

File Management (next release)

This section explains how to load and save model in the compatible format.

How to save model ?

How to load model ?

How to load Keras TensorFlow model ?

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