Edge Impulse Inc. / Tutorial: temperature regression Public

Edge Impulse Inc. / Tutorial: temperature regression

This is your Edge Impulse project. From here you acquire new training data, design impulses and train models.

Creating your first impulse (100% complete)

Acquire data

Every Machine Learning project starts with data. You can capture data from a development board or your phone, or import data you already collected.

Design an impulse

Teach the model to interpret previously unseen data, based on historical data. Use this to categorize new data, or to find anomalies in sensor readings.

Deploy

Package the complete impulse up, from signal processing code to trained model, and deploy it on your device. This ensures that the impulse runs with low latency and without requiring a network connection.

Download block output

Title Type Size
Raw data training data NPY file 60 windows
Raw data training labels NPY file 60 windows
Raw data testing data NPY file 17 windows
Raw data testing labels NPY file 17 windows
Regression model TensorFlow Lite (float32) 3 KB
Regression model TensorFlow Lite (int8 quantized) 3 KB
Regression model TensorFlow Lite (int8 quantized with float32 input and output) 3 KB
Regression model TensorFlow SavedModel 10 KB

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Summary

Data collected
2m 35s

Project info

Project ID 27269
Project version 3
License No license attached