https://storage.googleapis.com/mledu-datasets/cats_and_dogs_filtered.zip
base_model_trainer.py
: train the base model for a marchine learning taskparity_model_trainer.py
: train 3 parity models whose architectures are similar to that of the base modelplot_acc&loss.py
: plot the accuracy and the loss of each modelplot_accs
: plot the last accuracy of training dataset and validation dataset for 4 modelsplat_ao.py
: plot the overall accuracy as the fraction unavailable growstest.py
: simulate some slowdown or failure to occure and reconstuct the outputencoder
:the encoder functionparity_img
: 4 parity images for eack k generated by the encodermodels
: 4 trained modelslogs
: logs for storing the outputsresults
: the accuracy of each model, etc.