TinyML Cookbook
portes grátis
TinyML Cookbook
Combine machine learning with microcontrollers to solve real-world problems
Iodice, Gian Marco
Packt Publishing Limited
11/2023
664
Mole
Inglês
9781837637362
15 a 20 dias
Descrição não disponível.
Table of Contents
Getting Ready to Unlock ML on Microcontrollers
Unleashing Your Creativity with Microcontrollers
Building a Weather Station with TensorFlow Lite for Microcontrollers
Using Edge Impulse and the Arduino Nano to Control LEDs with Voice Commands
Recognizing Music Genres with TensorFlow and the Raspberry Pi Pico - Part 1
Recognizing Music Genres with TensorFlow and the Raspberry Pi Pico - Part 2
Detecting Objects with Edge Impulse Using FOMO on the Raspberry Pi Pico
Classifying Desk Objects with TensorFlow and the Arduino Nano
Building a Gesture-Based Interface for YouTube Playback with Edge Impulse and the Raspberry Pi Pico
Deploying a CIFAR-10 Model for Memory-Constrained Devices with the Zephyr OS on QEMU
Running ML Models on Arduino and the Arm Ethos-U55 microNPU Using Apache TVM
Enabling Compelling tinyML Solutions with On-Device Learning and scikit-learn on the Arduino Nano and RaspberryPi Pico
Getting Ready to Unlock ML on Microcontrollers
Unleashing Your Creativity with Microcontrollers
Building a Weather Station with TensorFlow Lite for Microcontrollers
Using Edge Impulse and the Arduino Nano to Control LEDs with Voice Commands
Recognizing Music Genres with TensorFlow and the Raspberry Pi Pico - Part 1
Recognizing Music Genres with TensorFlow and the Raspberry Pi Pico - Part 2
Detecting Objects with Edge Impulse Using FOMO on the Raspberry Pi Pico
Classifying Desk Objects with TensorFlow and the Arduino Nano
Building a Gesture-Based Interface for YouTube Playback with Edge Impulse and the Raspberry Pi Pico
Deploying a CIFAR-10 Model for Memory-Constrained Devices with the Zephyr OS on QEMU
Running ML Models on Arduino and the Arm Ethos-U55 microNPU Using Apache TVM
Enabling Compelling tinyML Solutions with On-Device Learning and scikit-learn on the Arduino Nano and RaspberryPi Pico
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Notemachine learning; raspberry pi pico; arduino nano 33 ble sense; sparkfun redboard artemis nano; tensorflow; microcontroller; single board computers; edge impulse; tvm; sensors
Table of Contents
Getting Ready to Unlock ML on Microcontrollers
Unleashing Your Creativity with Microcontrollers
Building a Weather Station with TensorFlow Lite for Microcontrollers
Using Edge Impulse and the Arduino Nano to Control LEDs with Voice Commands
Recognizing Music Genres with TensorFlow and the Raspberry Pi Pico - Part 1
Recognizing Music Genres with TensorFlow and the Raspberry Pi Pico - Part 2
Detecting Objects with Edge Impulse Using FOMO on the Raspberry Pi Pico
Classifying Desk Objects with TensorFlow and the Arduino Nano
Building a Gesture-Based Interface for YouTube Playback with Edge Impulse and the Raspberry Pi Pico
Deploying a CIFAR-10 Model for Memory-Constrained Devices with the Zephyr OS on QEMU
Running ML Models on Arduino and the Arm Ethos-U55 microNPU Using Apache TVM
Enabling Compelling tinyML Solutions with On-Device Learning and scikit-learn on the Arduino Nano and RaspberryPi Pico
Getting Ready to Unlock ML on Microcontrollers
Unleashing Your Creativity with Microcontrollers
Building a Weather Station with TensorFlow Lite for Microcontrollers
Using Edge Impulse and the Arduino Nano to Control LEDs with Voice Commands
Recognizing Music Genres with TensorFlow and the Raspberry Pi Pico - Part 1
Recognizing Music Genres with TensorFlow and the Raspberry Pi Pico - Part 2
Detecting Objects with Edge Impulse Using FOMO on the Raspberry Pi Pico
Classifying Desk Objects with TensorFlow and the Arduino Nano
Building a Gesture-Based Interface for YouTube Playback with Edge Impulse and the Raspberry Pi Pico
Deploying a CIFAR-10 Model for Memory-Constrained Devices with the Zephyr OS on QEMU
Running ML Models on Arduino and the Arm Ethos-U55 microNPU Using Apache TVM
Enabling Compelling tinyML Solutions with On-Device Learning and scikit-learn on the Arduino Nano and RaspberryPi Pico
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
