helpfile 787 B

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  1. This program builds a few layers on top of an xception model using
  2. pre-trained weights from imagenet. It then uses this model to train a
  3. bit on a MNIST-compatable dataset. Putting anything in the third
  4. argument spot will enable printing of debug stuff.
  5. Usage:
  6. python3 mnist-transfer-learning.py sliceNumber epochs
  7. sliceNumber is the max number of pictures to load from mnist.
  8. epochs is the epochs of the training
  9. Examples:
  10. python3 mnist-transfer-learning.py 200 2
  11. python3 mnist-transfer-learning.py 2000 100
  12. python3 mnist-transfer-learning.py 60000 50
  13. python3 mnist-transfer-learning.py 60000 50 anything
  14. python3 mnist-transfer-learning.py 60000 50 printplease
  15. python3 mnist-transfer-learning.py 60000 50 42
  16. 2022 Stephen Stengel <stephen.stengel@cwu.edu>