In this paper , we report a convolutional neural network - based method , trained through deep learning 41,42 , that can perform phase recovery and holographic image reconstruction using a single hologram intensity . Deep learning is a machine learning technique that uses a multi - layered artificial neural network for data modeling , analysis and decision making and has shown considerable success in areas where large amounts of data are available . Deep learning has recently been applied to solving inverse problems in imaging science such as in super - resolution 43,44 , acceleration of the image acquisition speed of computed tomography ( CT ) 45 , magnetic resonance imaging ( MRI ) 46 , photoacoustic tomography 47 and holography 48,49 .