Python Deep Learning Projects

Fitting the model

Again, train the model on the standard 20 epochs:

# 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 8.25: Metrics printed out during the training of the convolution classifier with max pooling and dropout

We see that the convolution classifier with max pooling and dropout is 98.52% accurate on the validation data.