Python Deep Learning Projects

Fitting the autoencoder

Like any regular model fit, fit the autoencoder:

# fit autoencoder autoencoder_train = autoencoder.fit(XX_train.reshape(-1,14,14,1), X_train.reshape(-1,28,28,1), batch_size=batch_size,                                    epochs=epochs, verbose=1,                                    validation_split = 0.2)

The following is the output of the preceding code:

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

Figure 8.40: Printout during the training of the autoencoder

You will notice that inside the fit, we have specified a parameter called validation_split and that we have set ...