Research on face recognition based on deep learning

With the deep learning in different areas of success, beyond the other methods, set off a new wave of neural network development. The concept of deep learning originated from the artificial neural network, in essence, refers to a class of neural networks with deep structure of the effective training methods[1]. As a powerful technology to realize artificial intelligence, deep learning has been widely used in handwriting digital recognition, dimension simplification, speech recognition, image comprehension, machine translation, protein structure prediction and emotion recognition. In this paper, we focus on the research hotspots of face recognition based on depth learning in the field of biometrics, Combined with the relevant theory and methods of depth learning, face recognition technology, along the order of depth learning, based on the depth of learning face recognition, face recognition application to start research.