wie man die richtige Epoche auswählt
#val_loss needs to be minimal
from keras import callbacks
earlystopping = callbacks.EarlyStopping(monitor ="val_loss",
mode ="min", patience = 5,
restore_best_weights = True)
history = model.fit(partial_images, partial_labels, batch_size = 128,
epochs = 25, validation_data =(val_images, val_labels),
callbacks =[earlystopping])
Colorful Copperhead