Plot the learning curves
During learning, the model will store the loss function evaluated in each epoch. Looking at the learning curves can tell us quite a bit about the learning process. In this exercise, you will plot the learning and validation loss curves for a model that you will train.
This exercise is part of the course
Image Modeling with Keras
Exercise instructions
- Fit the model to the training data (
train_data). - Use a validation split of 20%, 3 epochs and batch size of 10.
- Plot the training loss.
- Plot the validation loss.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
import matplotlib.pyplot as plt
# Train the model and store the training object
training = ____
# Extract the history from the training object
history = training.____
# Plot the training loss
plt.plot(history[____])
# Plot the validation loss
plt.plot(history[____])
# Show the figure
plt.show()