Design of task-specific optical systems using broadband diffractive neural networks.

ABSTRACT: Deep learning has been transformative in many fields, motivating the emergence of various optical computing architectures. Diffractive optical network is a recently introduced optical computing framework that merges wave optics with deep-learning methods to design optical neural networks. Diffraction-based all-optical object recognition systems, designed through this framework and fabricated by 3D printing, have been reported to recognize hand-written digits and fashion products, demonstrating all-optical inference and generalization to sub-classes of data. These previous diffractive approaches employed monochromatic coherent light as the illumination source. Here, we report a broadband diffractive optical neural network design that simultaneously processes a continuum of wavelengths gener

SUBMITTER: Luo Y 

PROVIDER: S-EPMC6885516 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature