One of the annoying things about machine learning at the moment is that the better known and documented frameworks tend to be built specifically for use with Linux (and to a lesser extent OSX). I came across an interesting discovery regarding Tensorflow models.
TFDeploy allows Python programmers to deploy their Tensorflow models using plain Numpy and Scikit. ^quote:TFDeploy:
Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.
For the training aspect of machine learning Tensorflow’s GPU accelerated libraries are really important, but Numpy should be fast enough to run fairly complex ML models.
It is possible to install Numpy and Scipy with Iron Python, and, as demonstrated by MicroD, Python code can be incorporated into vvvv. So is it possible that Tensorflow-trained models could be made to run inside vvvv?