# TensorFlow

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ML Feature has been updated in v3.1.2 more information will follow soon.
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supported in v2.1.0^
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<figure><img src="/files/qwiJWACITbMWFWhmwqaR" alt=""><figcaption><p>Machine Learning window Feelix v3.0.0</p></figcaption></figure>

### Collecting Data

The sensor data from the motor can be collected and used to train a Neural Network. The data can be stored for lated used or exported.\
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Play your effects in the main window, add the **Microcontroller** *(bottom left)* you want to record from , select the input variables you want to collect below **Inputs** *(top, middle)* and hit **Record** *(toolbar on the right)*. Now the interactions with the motor will be recorded and added to the data set. \
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The data sets can be trimmed into smaller sections using the **trim** button *(toolbar on the right: scissors)*. Each set is associated with a classifier to label the data for training purposes, the classifier can be changed using the dropdown in the toolbar above the data graph.&#x20;

Datasets can be **saved** locally using the buttons in the toolbar *(right)*. They can also be **exported** and imported as json file. All datasets that are included in the list will be included in the training process.

### Initializing and Training a Model

The basic settings of the model can be adjusted to improve the output of the model. \
All the data listed below files will be used as training data. \
Select the **Open File** button to add data sets that have been saved earlier.&#x20;

### Classifying Data

When the model has been trained with the data, the interactions with the motor can be classified using predefined labels. Select **Deploy** to test the model.

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Filters are not working yet. More features will be added to explore with machine learning in haptic and shape changing interfaces.
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