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nn-wtf's Issues

Clean up main.py so it is usable as an example

  • rename the parameters and functions to reflect what they really do
  • add some docstrings too
  • clean up the messy code
  • add an example for saving and restoring trained networks
  • move the code into an examples subdir and only keep main and argument parsing in main.py

correctly handle which graph is worked on

currently a NeuralNetworkGraph must be created in the context of
with tf.Graph().as_default():

the TensorFlow graph should be a member of the NeuralNetworkGraph instead. then it can also be passed to the SummaryWriter in the SummaryWriterMixin, which currently shows a deprecation warning.

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