According to reports from Electronic Enthusiasts (Written by Li Wanwan), in the era of artificial intelligence, more and more AI applications need to extend from the cloud to the edge, such as smart headphones, smart cameras, smart bracelets, logistics robots, etc. Deploying AI at the edge has become a trend. With the rapid development of … Read more
Introduction This page will guide you on installing TensorFlow on a Raspberry Pi 4 running the 64-bit Bullseye operating system. TensorFlow is a large software library developed specifically for deep learning, which consumes a lot of resources. You can run TensorFlow on a Raspberry Pi 4, but do not expect miraculous performance. If the model … Read more
Author丨Zhang Ke Address丨https://blog.csdn.net/u013872857/article/details/109045686 Android Studio 4.1 has been released, fixing a total of 2370 bugs and 275 issues. The main new features include: Design Material Design component library updates Development Database Inspector feature Run the emulator directly in Android Studio Dagger navigation support Use TensorFlow Lite models Build and Testing Android emulator supports foldable screens … Read more
Reprint please specify the source: http://www.codelast.com/ Software and hardware environment of this article: Raspberry Pi: Model B V1.2, 1GB RAM OS: Raspbian Jessie Deep Learning is very popular now, and Raspberry Pi enthusiasts certainly won’t miss out. There are already many Raspberry Pi projects that have jumped on the Deep Learning bandwagon. Purely for fun, … Read more
The Editor Says: Currently, researchers are using various deep learning frameworks. This article introduces six common deep learning frameworks and discusses the advantages of PyTorch compared to them. This article is excerpted from “Deep Learning Framework PyTorch: Introduction and Practice”. For more details, please click Read the Original. The Birth of PyTorch In January 2017, … Read more
These Raspberry Pi projects are designed to simplify your life and enhance productivity. — Lauren Pritchett Nothing is more exciting than experiencing the results of your Raspberry Pi creations. After hours of programming, testing, and building from scratch, your project finally takes shape, and you can’t help but exclaim, “Wow!” The possibilities that Raspberry Pi … Read more
“Raspberry Pi”, also known as RPi or RasPi, is a microcomputer designed for learning computer programming, based on the Linux system. Since its launch, it has been sought after by numerous computer enthusiasts and makers, once being difficult to obtain. Despite its credit card size, it can perform video, audio, and other functions, making it … Read more
In the process of developing machine learning, once the model has been trained, the next step is to perform model inference. Depending on the deployment environment, it can be divided into three types of scenarios: Edge Computing: Generally refers to mobile phones and embedded devices, performing inference directly on the device where the data is … Read more
Recently, I planned to implement offline face recognition on embedded devices, so I decided to install TensorFlow on Raspberry Pi 3. Below I will introduce how to install TensorFlow on Raspberry Pi 3. It is actually very simple and can be done quickly. However, due to the limitations of the Raspberry Pi server, our internet … Read more
Event Time September 16 (this Thursday) 20:00-21:00 Event Schedule 20:00-20:45 Keynote Sharing Running TensorFlow on IoT Devices Current status of TensorFlow Lite and TensorFlow Lite Micro Key points and implementation methods of running TensorFlow Lite on Coral Compilation process and technical points of TensorFlow Lite Micro 20:45-21:00 Interactive Q&A Organizing Community GDG Shanghai Bilibili Live … Read more