[D] Tensorflow: Basic utilization of trained neural net? • r/MachineLearning

I have a fairly dumb question about Tensorflow: Every NN example I've come across has described network layer creation and training and computing accuracy but they all seem to leave off the step where you utilize the trained model to predict your outputs -- How is this accomplished? After training it, I try to pass in a single X value to produce a single Y value, expecting Y sin(X) but what I actually receive as output is garbage. Can someone show me method definition to have this NN operate as a replacement for sin(X)?