Feature Engineering for Deep Learning - DZone AI

Feature engineering and feature extraction are key -- and time-consuming -- parts of the machine learning workflow. They are about transforming training data and augmenting it with additional features in order to make machine learning algorithms more effective. Deep learning is changing that, according to its promoters. With deep learning, one can start with raw data, as features will be automatically created by the neural network when it learns. As usual with bold statements, this is both true and false.