Tensorflow and Sklearn
Yes it is possible. Once you actually return the results from the Tensorflow model, they will (by default) be returned as NumPy arrays. You can then use them as input e.g. to a SciKit Learn model.

Have a look at this thread, which shows some nice examples the types returned by TF models.

One last consideration: The model must return results in such a way that they are in the normal memory, reachable for the CPU - not somehow left in GPU memory.