Arduino Deep Learning From Ground Up™

Link : Arduino Deep Learning From Ground Up™

Build Artificial Intelligence Firmware from Scratch on Arduino
Bestseller
4.3 (10 ratings)
119 students enrolled
Created by Israel Gbati
Last updated 1/2020
English
 Arduino Deep Learning From Ground Up™
What you'll learn
  • Build Neural Networks from scratch without libraries
  • Master quantization methods for deploying Neural Networks on Arduino
  • Build a Deep Learning Arduino Sketch for Image Classification
  • Build a Deep Learning Arduino Sketch for Speech Recognition
  • Build a Deep Learning Arduino Sketch for Gesture Recognition
 Description Welcome to the Arduino Deep Learning From Ground Up™ .
We are going to embark on a very exciting journey together. We are going to learn how to build deep neural networks from scratch on our Arduino.
We shall begin by learning the basics of deep learning with practical code showing each of the basic building  blocks that end up making a giant deep neural network. All of this on our Arduino, both training and inference.
As we begin to deal with large datasets we shall start training our neural networks on our computers and then deploying the the trained models on our microcontrollers. Due to the limited memory and processing power of Arduino we shall learn methods for quantizing our models before deploying them on our resource constrained Arduino without compromising the accuracy of our models.
We shall also learn how to thoroughly take advantage of deep learning libraries such as Keras and Tensorflow as well as Arduino specific deep learning libraries such as TensorFlow Lite.

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