Deep learning, per se, involves that department of machine learning that deals with artificial neural networks to model complicated patterns in data. Deep learning models automatically learn the hierarchical representations of input data through multiple layers of interconnected nodes, unlike traditional machine learning algorithms, for which feature extraction has to be explicitly done. This has made deep learning particularly good at tasks like image classification, speech recognition, and natural language processing, where it is desired that the model learn from raw data.