Overview of deep learning theory and its application

Краткое изложение: Deep Learning is a new research direction in the field of machine learning, which is introduced into machine learning to make it closer to the original goal -AI(Artificial Intelligence).
Deep learning is the inherent law and level of learning sample data. The information obtained in these learning processes is very helpful for the interpretation of data such as text, images, and sounds. Its ultimate goal is to allow machines to analyze learning ability like humans and can recognize data such as text, images and sounds. It is a complex machine learning algorithm, which has achieved the effect in terms of voice and image recognition, far exceeding the previous related technologies, especially in searching technology, data mining, machine translation, natural language processing, multimedia learning, voice, recommendation and personalized technologies, and other related fields. This article discusses the theoretical knowledge of deep learning and investigates the application of the algorithm in various fields, to provide a certain reference for deep learning studies.