listing deep learning for computer vision fine- uning he model model compile(loss='binary_crossentropy'optimizer=optimizers rmsprop(lr= - )metrics=['acc']history model fit_generatortrain_generatorsteps_per_epoch= epochs= validation_data=validation_generatorvalidation_steps= let' plot the results using the same plotting code as before (see figures and figure training and validat ion accuracy for fine- uning figure training and validat ion loss for fine- uning these curves look noisy to make them more readableyou can smooth them by replacing every loss and accuracy with exponential moving averages of these quantities here' trivial utility function to do this (see figures and licensed to