It’s the O.G. of machine learning, and that’s the only reason why the developers of TensorFlow centered its support around Python. These days, one can use TensorFlow with JavaScript, Java, and ...

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 Lite (TFLite) was announced in 2017 and Google is now calling it “LiteRT” to reflect how it supports third-party models. TensorFlow Lite for mobile on-device AI has “grown beyond ...