It's a pity that most Tensorflow tutorials out there seem to deal with images. We tried to use it for real-time data classification (data -> [yes | no]). Every tuturial out there seems to assume you're using Python (which is probably not an invalid assumption). Here's my 2c when trying to use Tensorflow with C++:

a) Loading SavedModels is a pain. I has to trawl the Tensorflow repo and Python wrappers to see how it worked.

b) It's incredibly slow. It added ~250ms to our latency. We had to drop it.

c) It has a C++ framework that doesn't work out-of-the-box, you have to use the C lib that wraps an old version of the C++ framework (confused? me too).

d) It's locked to C++03.

Tensorflow-Lite looked to fit the bill for us, but our model weren't convertible to it. We no longer use Tensorflow.