Eoin Jordan / AI Mechanic

AI Mechanic the car whisperer

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
MFE training data NPY file 2251 windows
MFE training labels NPY file 2251 windows
MFE testing data NPY file 63 windows
MFE testing labels NPY file 63 windows
Spectrogram training data NPY file 2251 windows
Spectrogram training labels NPY file 2251 windows
Spectrogram testing data NPY file 63 windows
Spectrogram testing labels NPY file 63 windows
NN Classifier model TensorFlow Lite (float32) 815 KB
NN Classifier model TensorFlow Lite (int8 quantized) 205 KB
NN Classifier model TensorFlow SavedModel 769 KB
NN Classifier model Keras h5 model 758 KB

Summary

Data collected
19m 41s

Project info

Project ID 79510
Project version 4