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.
Latihan ini merupakan bagian dari kursus
Machine Learning for Finance in Python
Instruksi latihan
- Plot the losses (
'loss') fromhistory.history. - Set the title of the plot as the last loss from
history.history, and round it to 6 digits.
Latihan interaktif langsung praktik
Cobalah latihan ini dengan melengkapi kode contoh ini.
# Plot the losses from the fit
plt.plot(____)
# Use the last loss as the title
plt.title('loss:' + str(round(____, 6)))
plt.show()