Now we will train the model.
To train the model, we will use a batch size of 5 and 100 epochs and save it in a variable called history
<< your code goes here >> = model.fit(X_train, y_train, batch_size=<< your code goes here >>, epochs=<< your code goes here >>)
Once the training is complete, we will plot the loss and accuracy metrics of the model
pd.DataFrame(history.history).plot(figsize=(8, 5))
plt.grid(True)
plt.gca().set_ylim(0, 1)
plt.show()
Note - Having trouble with the assessment engine? Follow the steps listed here
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