ycliper

Популярное

Музыка Кино и Анимация Автомобили Животные Спорт Путешествия Игры Юмор

Интересные видео

2025 Сериалы Трейлеры Новости Как сделать Видеоуроки Diy своими руками

Топ запросов

смотреть а4 schoolboy runaway турецкий сериал смотреть мультфильмы эдисон
Скачать

tinyML Talks - Pete Warden: Getting started with TinyML

Автор: EDGE AI FOUNDATION

Загружено: 2020-03-31

Просмотров: 20530

Описание: tinyML Talks webcast - recorded March 31, 2020
Pete Warden - Google
Daniel Situnayake (moderator) - Edge Impulse


If you're interested in running machine learning on embedded devices but aren't sure how to get started, Pete Warden from Google's TensorFlow Micro team will run through how to build and run your own TinyML applications. This will include an overview of the different boards that are available, the software frameworks, and tutorials to get you up and running.


For Questions/Answers and comments please see our forum https://www.tinyml.org/forums

This tinyML Talks thread:
https://forums.tinyml.org/t/getting-s...

Не удается загрузить Youtube-плеер. Проверьте блокировку Youtube в вашей сети.
Повторяем попытку...
tinyML Talks - Pete Warden: Getting started with TinyML

Поделиться в:

Доступные форматы для скачивания:

Скачать видео

  • Информация по загрузке:

Скачать аудио

Похожие видео

tinyML Talks local Germany Marcus Rueb: Introduction to optimization algorithms to compress neural..

tinyML Talks local Germany Marcus Rueb: Introduction to optimization algorithms to compress neural..

tinyML Talks: SRAM based In-Memory Computing for Energy-Efficient AI Inference

tinyML Talks: SRAM based In-Memory Computing for Energy-Efficient AI Inference

tinyML Talks: Empowering the Edge: Practical Applications of Embedded Machine Learning on MCUs

tinyML Talks: Empowering the Edge: Practical Applications of Embedded Machine Learning on MCUs

tinyML Talks Boon Logic:

tinyML Talks Boon Logic: "Amber: A Complete, ML-Based, Anomaly Detection Pipeline for...

tinyML Talks: Deploying AI to Embedded Systems

tinyML Talks: Deploying AI to Embedded Systems

Inside TensorFlow: TensorFlow Lite

Inside TensorFlow: TensorFlow Lite

tinyML Talks - Daniel Situnayake:  How to train and deploy tinyML models for three common sensor...

tinyML Talks - Daniel Situnayake: How to train and deploy tinyML models for three common sensor...

tinyML Talks Chandrasekar Vuppalapati: Democratization of Artificial Intelligence (AI) to Small...

tinyML Talks Chandrasekar Vuppalapati: Democratization of Artificial Intelligence (AI) to Small...

tinyML Talks: A Practical Guide to Neural Network Quantization

tinyML Talks: A Practical Guide to Neural Network Quantization

Introduction to TinyML - Alessandro Grande

Introduction to TinyML - Alessandro Grande

What’s TinyML good for

What’s TinyML good for

[1hr Talk] Intro to Large Language Models

[1hr Talk] Intro to Large Language Models

tinyML Asia 2023 - Kyuwoong Hwang: The Future of AI is “On-Device”

tinyML Asia 2023 - Kyuwoong Hwang: The Future of AI is “On-Device”

tinyML Talks: Unleashing the Power of the New XIAO ESP32S3 Sense: Tackling Anomaly Detection...

tinyML Talks: Unleashing the Power of the New XIAO ESP32S3 Sense: Tackling Anomaly Detection...

Get Started with TinyML Webinar

Get Started with TinyML Webinar

Machine Learning Zero to Hero (Google I/O'19)

Machine Learning Zero to Hero (Google I/O'19)

TinyML: Getting Started with TensorFlow Lite for Microcontrollers | Digi-Key Electronics

TinyML: Getting Started with TensorFlow Lite for Microcontrollers | Digi-Key Electronics

Stanford Seminar - Current Status of tinyML and the Enormous Opportunities Ahead (panel discussion)

Stanford Seminar - Current Status of tinyML and the Enormous Opportunities Ahead (panel discussion)

A friendly introduction to linear algebra for ML (ML Tech Talks)

A friendly introduction to linear algebra for ML (ML Tech Talks)

Pete Warden — Practical Applications of TinyML

Pete Warden — Practical Applications of TinyML

© 2025 ycliper. Все права защищены.



  • Контакты
  • О нас
  • Политика конфиденциальности



Контакты для правообладателей: [email protected]