Python Deep Learning Projects

Fitting a model

To fit a model in Keras, along with train digits and train labels, call the fit method of the model with the following parameters:

• epochs: The number of epochs
• batch_size: The number of images in each batch
• validation_data: The tuple of validation images and validation labels

Look at the Defining the hyperparameters section of the chapter for the defined values of epochs and batch_size: 

# fit the 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: ...