Importantly, a deep learning process can learn which features to optimally place at which level on its own. Prior to deep learning, machine learning procédé often involved hand-crafted feature engineering to transform the data into a more suitable representation conscience a classification algorithm to operate on. The universal approximation theorem https://scottc109mbp5.wikicommunication.com/user