Simple example of machine learning in TensorFlow
I like these kind of "Hello, world!" examples for TensorFlow. As a TensorFlow beginner, I need all the references I can get.  Here is what I need right now: "Hello, we meet again!".  I can build a neural net model, and train (albeit, often badly) a model, but saving and restoring the trained weights so that I can run the model again is giving me fits.  I am clearly missing something fundamental about how to restore a TensorFlow NN model.<p>For your next tutorial, may I suggest: 1) a list of do's and don'ts for constructing a savable/restorable model, and 2) a wee bit of example code.<p>Of course, now that I have discovered Keras I'm moving away from low-level direct TensorFlow. But I suspect I'm not the only one a bit foggy about the whole save/restore work flow.