Diffraction Deep Neural Networks(D2NN). Contribute to chuqianyu/Diffractive-Deep-Neural-Networks development by creating an account on GitHub.
Diffractive Deep Neural Network (D${}^2$NN) Get Started OpticalLayer.py includes two types of Layers. Diffraction is the free space propagtion layer and DiffLayer provides phase modulation. from torch import nn from OpticalLayers import DiffLayer, Diffraction Build your own model like you do ...
Diffraction Deep Neural Networks(D2NN). Contribute to chuqianyu/Diffractive-Deep-Neural-Networks development by creating an account on GitHub.
Define the default number of layers as 5. In codes, there is a Propagation() layer that is the last propagation of the wave and it has no phase parameters. So far, the Diffractive Deep Neural Network has been completed. The last part is training it, and I don't want to write down ...
To pursue the rich spatial modes of speckle patterns, we implement the generative part adopting diffractive deep neural networks for the end-to-end hardware consistency and for the sake of a potential all-optical implementation (Fig. 1D). The combination of multiple programmable optical layers used...
Deep neural networks have found success in a wide variety of applications, ranging from computer vision to natural language processing to game playing1. Convolutional neural networks (CNNs), capitalizing on the spatial invariance of various image properties, have been especially popular in computer vis...
This branch is up to date withsleepingcat42/Diffractive-Deep-Neural-Network:main. Folders and files Name Last commit message Last commit date Latest commit sleepingcat gitignore May 23, 2023 2229684·May 23, 2023 History 6 Commits __pycache__ ...