Organizing transfer learning
Basically I organized the keyword arguments for the input networks used in the estimator.
Now, we can expect that the network has this function signature:
inputs, reuse=False, is_training_mode = True, trainable_variables=True
- reuse: If you want to reuse the tensorflow variables
- is_training_mode: If you are in training mode or not.
- trainable_variables: IF the set of variables in the network function are trainable
Tests are passing.