[光计算与人工智能]论文阅读2:All-optical machine learning using diffractive deep neural networks 努力加油的维克 光计算,计算摄影学 来自专栏 · 光计算与人工智能 42 人赞同了该文章 从这篇开始是衍射神经网络的相关笔记。 论文原地址如下,来自Science正刊。 https://www.science.org/doi/10.1126/science.aat...
(2018)All-optical machine learning using diffractive deep neural networks,程序员大本营,技术文章内容聚合第一站。
Using a 3D printer, a research team at the UCLA Samueli School of Engineering has created an artificial neural network that can analyze large volumes of data and identify objects at the speed of light. Called a diffractive deep neural network (D2NN), the technology uses the light scattering ...
Here we introduce an all-optical deep learning framework, where the neural network is physically formed by multiple layers of diffractive surfaces that work in collaboration to optically perform an arbitrary function that the network can statistically learn. We term this framework as Diffractive Dee...
We introduce an all-optical Diffractive Deep Neural Network (D2NN) architecture that can learn to implement various functions after deep learning-based design of passive diffractive layers that work collectively. We experimentally demonstrated the success of this framework by creating 3D-printed D2NNs...
All-optical machine learning using diffractive deep neural networks. Science 361, 1004–1008 (2018). Article ADS MathSciNet CAS PubMed Google Scholar Weng, J. et al. Meta-neural-network for real-time and passive deep-learning-based object recognition. Nat. Commun. 11, 6309 (2020). ...
A diffractive deep neural network is an optical machine learning structure that is capable of combining deep learning with optical diffraction and light-matter interaction to design diffractive surfaces that collectively carry out optical computation at the speed of light. Prototype of a broadband diffrac...
comparator outputs the pulse with the maximum voltage as the predicted result of ACCEL.c, Schematic of ACCEL with an OAC integrated directly in front of an EAC circuit for high-speed, low-energy processing of vision tasks. MZI, Mach–Zehnder interferometer; D2NN, diffractive deep neural ...
free-space optical layers. Here, we introduce a polarization-multiplexed diffractive processor to all-optically perform multiple, arbitrarily-selected linear transformations through a single diffractive network trained using deep learning. In this framework, an array of pre-selected linear polarizers is pos...
(see Section 2 in Supple- mentary Materials), the phase and amplitude of the cross- polarized transmitted light are customized independently with a high spatial precision of subwavelength scale, hereby superior to traditional diffractive optical elements43, spatial light modulators44, and digital ...