Also, Deep Learning is about learning multiple levels of representation and abstraction that help to make sense of data such as images, sound, and text.
Deep learning is applicable to many domains of science like image recognition and speech recognition, predicting the activity of potential drug molecules, analysing particle accelerator data reconstructing brain circuits, and predicting the effects of mutations in non-coding DNA on gene expression and disease. Perhaps more surprisingly, deep learning has produced extremely promising results for various tasks in natural language understanding, particularly topic classification, sentiment analysis, question answering and language translation.