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Intro to TensorFlow Lite Part 1: Wake Word Feature Extraction – Maker.io Tutorial | DigiKey

In this tutorial series, Shawn covers the basics for training a neural network with TensorFlow Lite to respond to a spoken word. This neural network model is deployed to a Raspberry Pi, where it can listen for the wake word in real time.

In this episode, we cover the basic steps for most machine learning projects and how to extract useful features from audio samples using Python and Jupyter Notebook. These features are saved to a file, which can be loaded during the neural network training step in the next episode.

View TensorFlow Lite Part 1: Wake Word Feature Extraction Blog
1/27/2020 9:34:39 PM

Part List

ImageManufacturer Part NumberDescriptionAvailable QuantityPriceView Details
BREADBOARD-FRIENDLY PCB MOUNT MI1898BREADBOARD-FRIENDLY PCB MOUNT MI0 - Immediate$15.23View Details
SBC 1.4GHZ 4 CORE 512MB RAMSC0130(J)SBC 1.4GHZ 4 CORE 512MB RAM0 - Immediate$205.80View Details
SBC 1.5GHZ 4 CORE 4GB RAMSC0194(9)SBC 1.5GHZ 4 CORE 4GB RAM14481 - Immediate$484.86View Details

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