The TensorFlow.js Node.js environment supports using an installed build of Python/C TensorFlow as a back end, which may in turn use the machine’s available hardware acceleration, for example CUDA.

TensorFlow.js, a JavaScript library for training and deploying models in the web browser and on Node.js; TensorFlow Lite, a lightweight library for deploying models on mobile and embedded devices; and ...

When the time comes to add an object recognizer to your hack, all you need do is choose from many of the available ones and retrain it for your particular objects of interest. To help with that, [E… ...

In this example, we demonstrate how to do high performance AI inference in Node.js. The computationally intensive tensorflow code is written in Rust and executed in WebAssembly. The user-facing ...

To get help from the community, we encourage using Stack Overflow and the tensorflow.js tag. TensorFlow.js version tensorflow/[email protected] Browser version Describe the problem or feature request I ...

Google's TensorFlow team makes it a whole lot easier to get AI up and running on a Raspberry Pi. X. Trending. After years with Windows, I used the MacBook Air M4 for one week ...

A recent [TensorFlow] video shows an interview between [Jason Mayes] and [Paul Van Eck] about using TensorFlow.js with Node-RED to create machine learning applications for Raspberry Pi visually.

According to its site, TensorFlow is an open source software library for numerical computation using data flow graphs. For a layman, TensorFlow can be considered as a system that takes ...