This book, "Arduino V: AI and Machine Learning," is an accessible primer on Artificial Intelligence and Machine Learning for those without a deep AI and ML background. The author concentrates on Artificial Intelligence (AI) and Machine Learning (ML) applications for microcontroller鈥揵ased ...
will join forces with AI chip startupAxelerato bring more advanced machine learning to the masses. The collaboration will combine Axelera’saccelerator chipswith Arduino’s families of system-on-modules (SOMs), giving them more than enough performan...
近年来,机器学习(Machine Learning)在各个领域得到了广泛应用。从图像识别到自然语言处理,机器学习已经渗透到我们的日常生活中。而Arduino作为一个开源硬件平台,因其易于使用和灵活性,成为了创客和教育工作者的首选工具。将Arduino与机器学习结合起来,能够让我们在物联网、机器人以及其他智能设备的开发中,创造出更多有趣...
原文链接: https://medium.com/tensorflow/how-to-get-started-with-machine-learning-on-arduino-7daf95b4157
Step 4: Select the correct COM port from drop down box, and click on “Start Vision Machine Learning” Step 5: Have fun training! You can also watch the live demonstration here: AFTER THOUGHT Possibilities for the kids with such simple tool are endless. Imagine attaching it to a Servo mot...
这是一个激动人心的时刻,有很多东西可以在Tiny ML中学习和探索。我们希望这篇文章能让你了解它的潜力,并成为开始在你自己的项目中应用它的起点。 原文链接: https://medium.com/tensorflow/how-to-get-started-with-machine-learning-on-arduino-7daf95b4157...
原文链接: https:///tensorflow/how-to-get-started-with-machine-learning-on-arduino-7daf95b4157 Arduino的任务是让机器学习变得简单,任何人都可以使用。在过去的几个月里,我们一直在与TensorFlow Lite团队合作,并很高兴向您展示我们的合作成果:将TensorFlow Lite Micro应用于Arduino Nano 33 BLE Sense。在本文中...
图5给出了核心硬件模块及传感器在板卡上的布局。不愧名为sense, 我们注意到了板卡上多许多种高性能传感器, 因此也就带来无限多种玩法(网上可以找到大神利用machine learning进行语音识别的项目)。 图5:主要器件布局 标识丝印的部分被放置在了板卡的底部, 见图6。板子可通过UART、SPI和I2C等方式与外设交互。另外, 官...
Be a part of the Tiny Machine Learning (TinyML) revolution in the ever-growing world of IoT. This book examines the concepts, workflows, and tools needed to make your projects smarter, all within the Arduino platform. You’ll start by exploring Machine learning in the context of embedded, ...
This example shows how to use the Simulink® Support Package for Arduino® Hardware to identify punch and flex hand gestures using a machine learning algorithm.