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Diffractive-Deep-Neural-Networks

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Diffraction Deep Neural Networks(D2NN)

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# Diffractive-Deep-Neural-Networks
This repository is a reproduction of the code of the paper, "All-optical machine learning using diffractive deep neural networks".

The calculation method of wave propagation can be found in the ./References folder.  
##### 1. Knowledge
###### 1.1 Basic physic on Electricity and Magnetism (Ref: [University Physics ch.5](https://openstax.org/books/university-physics-volume-2/pages/5-introduction))
 
###### 1.2 Lectures:
- [MIT 2.71 Optics, L11-13](https://ocw.mit.edu/courses/2-71-optics-spring-2009/video_galleries/video-lectures/)

Some additional reference links:
- [Solving the Diffraction Integral with the Fast Fourier Transform (FFT) and Python](https://rafael-fuente.github.io/solving-the-diffraction-integral-with-the-fast-fourier-transform-fft-and-python.html)

- [Simulating Diffraction Patterns with the Angular Spectrum Method and Python](https://rafael-fuente.github.io/simulating-diffraction-patterns-with-the-angular-spectrum-method-and-python.html)

Demons and seperated tests of related scientific computing functions in python(i.e 2D Fourier transform and mesh grid) can refer to this [repo](https://github.com/0ce38a2b/Scientific-Programming).

##### 2. Anasys Lumerical FDTD:
- [High-Performance Computing](https://optics.ansys.com/hc/en-us/categories/360002147933-High-Performance-Computing)
- [Lumerical scripting language](https://optics.ansys.com/hc/en-us/articles/360037228834-Lumerical-scripting-language-By-category)
###### 2.1 Theoretical part:
- [Electromagnetic Plane Waves](https://courses.ansys.com/index.php/courses/electromagnetic-plane-waves/)
###### 2.2 Practical part:
- [Photonics Engineering Courses](https://courses.ansys.com/index.php/photonics/)

Diffractive-Deep-Neural-Networks

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