Executing ML projects becomes a lot simpler and faster than if you were to construct the project from scratch. This detailed guide walks you through making a tracker with object recognition using a camera and TensorFlow, a deep-learning framework.įor those unfamiliar with deep learning, TensorFlow acts as a prebuilt, all-in-one platform for machine learning that comes loaded with a host of premade functions. Unsurprisingly, you can use a Raspberry Pi to do some really cool artificial intelligence (AI) and machine learning (ML) work. There are many Raspberry Pi kits available for purchase to make things like remote-controlled toy cars or self-operating cranes. Make an electronic instrument with Scratch

The Chromecast Ultra and Nvidia Shield are also an option for streaming games, although the Raspberry Pi offers many other functionalities. The Raspberry Pi 4 isn’t the fastest hardware around, so you may need to stream your games at 1080p or even 720p to get as little lag as possible. Sadly, there are a couple of drawbacks to this setup. All it takes is two lines of code! If you’re having trouble with the setup, you can read this Steam FAQ or try sending a support ticket.

You can use a Raspberry Pi, as seen in this guide. All you need is Steam installed on your computer and a Steam Link-enabled device linked to your TV. While you can directly wire your computer to your TV as you would connect a display, Steam Link lets you stream games wirelessly. If you have a big library of games on Steam, you may be wondering how to hook up your computer to your living room TV.

While the physical Steam Link is no longer sold, you can still get the Steam Link software on a Raspberry Pi thanks to the publicly available kit from Valve.

Steam raspberry pi 4