Python Deep Learning Projects

Fitting the model

Now, let's fit the model on the data:

# fit modelhistory = model.fit(X_train, y_train, epochs = epochs, batch_size=batch_size, validation_data=(X_val, y_val))

The following is the output of the preceding code:

The following is the output at the end of the code's execution:

Figure 8.20: Metrics printed out during the training of the convolution classifier with max pooling

We can see that the convolution classifier with max pooling has an accuracy of 97.72% on the validation data.