AMC - added arguments: amc-ft-frequency, amc-reward-frequency

amc-ft-frequency:
Sometimes we may want to fine-tune the weights after
‘n’ number of episode steps (action-steps).   This new
argument  controls the frequency of this fine-tuning (FT)
How many action-steps between fine-tuning
By default, there is no fine-tuning between steps.

amc-reward-frequency:
By default, we only provide a non-zero reward at the end
episodes.  This argument allows us to provide rewards at
a higher frequency.

This commit also reorders the ResNet layer names, so that
layers are processed by near-topological order.  This is simply
to help interpret the data in the AMC Jupyter notebooks.