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Exercise

Plot losses

Once we've fit a model, we usually check the training loss curve to make sure it's flattened out. The history returned from model.fit() is a dictionary that has an entry, 'loss', which is the training loss. We want to ensure this has more or less flattened out at the end of our training.

Instructions

100 XP
  • Plot the losses ('loss') from history.history.
  • Set the title of the plot as the last loss from history.history, and round it to 6 digits.