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Intro to TensorFlow Lite Part 2: Speech Recognition Model Training – 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 second episode, we go over the steps necessary to train a convolutional neural network using Keras and TensorFlow. The model will be used as part of an automatic speech recognition (ASR) system.

1/27/2020 9:34:39 PM

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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