the Diffractive Deep Neural Network has been completed. The last part is training it, and I don't want to write down more details, which are intuitive, for convenience. Actually, Just using 2 layers, the
The development of artificial intelligence is typically focused on computer algorithms and integrated circuits. Recently, all-optical diffractive deep neural networks have been created that are based on passive structures and can perform complicated func
Code This branch is up to date with sleepingcat42/Diffractive-Deep-Neural-Network:main.Folders and files Latest commit sleepingcat gitignore 2229684· May 23, 2023 History6 Commits __pycache__ add init files May 23, 2023 data add init files May 23, 2023 fig modified gitignore, remove model...
之前提到的衍射神经网络的运算都是在实空间完成的运算,而这篇论文展示了将图像进行傅里叶变换后再经过神经网络处理的方法。这种方法能够完成更加复杂的计算机视觉的任务(例如分割),同时也被证实了相比以往,傅里叶衍射神经网络在一些任务上有着更高的正确率和稳定性。 这篇论文中,作者使用傅里叶衍射神经网络,实现了计...
To overcome this limitation, the ID2N2 can be used as a building block in larger scale optoelectronic deep neural network, where the nonlinear response of the detector module can act as a hidden nonlinear layer. Also, the output of the ID2N2 can be considered as an optically pre-processed...
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 ...
In this Letter we propose the Fourier-space diffractive deep neural network (F−DNN2) for all-optical image processing that performs advanced computer vision tasks at the speed of light. The F−DNN2 is achieved by placing the extremely compact diffra
Sainath, T. N. et al. Deep convolutional neural networks for LVCSR. In2013 IEEE International Conference on Acoustics, Speech and Signal Processing. 8614–8618 (IEEE, Vancouver, 2013). Xiong, H. Y. et al. The human splicing code reveals new insights into the genetic determinants of disease...
Diffractive deep neural network adjoint assist or (DNA)2: a fast and efficient nonlinear diffractive neural network implementation. The recent advent of diffractive deep neural networks or D2NNs has opened new avenues for the design and optimization of multi-functional optical materials; despite the ...
2. A diffractive deep neural network (D2NN) device comprising: an input port configured to receive a light beam; a modulation layer comprising a first modulation region and a second modulation region, the first modulation region configured to perform a first spatial modulation on the light beam...