In two sentences, summarize this article.
Deep learning is a subset of machine learning that involves artificial neural networks with multiple layers, and has been successfully applied to fields such as computer vision, natural language processing, and drug design. While deep learning architectures are inspired by biological neural networks, they differ in their static and symbolic nature, and their use of multiple layers with nonpolynomial activation functions.