I'm trying to do image classification with Keras. I have read that it is usually a good idea to normalize input numbers in machine learning. It is easier for the model to train, that's why the training process with normalized data is faster and more effective. But how I can perform image normalization in Keras? Is there a built-in method to do this, or should I devise my own function for normalizing pixel values of the images in the training set?