Thomas Garcia / keywordspotter_demo
This is your Edge Impulse project. From here you acquire new training data, design impulses and train models.
Creating your first impulse (100% complete)
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.
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
|Audio (MFE) training data||NPY file||4795 windows|
|Audio (MFE) training labels||NPY file||4795 windows|
|Audio (MFE) testing data||NPY file||1214 windows|
|Audio (MFE) testing labels||NPY file||1214 windows|
|Neural Network (Keras) model||TensorFlow Lite (float32)||28 KB|
|Neural Network (Keras) model||TensorFlow Lite (int8 quantized)||11 KB|
|Neural Network (Keras) model||TensorFlow SavedModel||40 KB|
Data collected1h 40m 9s
|License||No license attached|