# computational-imaging/opticalCNN

<https://repo.masters-masters.com/en/repos/computational-imaging/opticalCNN>

[Home](https://repo.masters-masters.com/en) › [computational-imaging](https://repo.masters-masters.com/en/owners/computational-imaging) › [opticalCNN](https://repo.masters-masters.com/en/repos/computational-imaging/opticalCNN)

computational-imaging/opticalCNN has 154 stars on GitHub. Its RepoMasters card: Prototype tier. hybrid optical electronic convolutional neural networks

| Field | Value |
| --- | --- |
| Owner | [computational-imaging](https://repo.masters-masters.com/en/owners/computational-imaging) |
| Stars | 154 |
| Forks | 34 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2018 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [computational-imaging/opticalCNN](https://github.com/computational-imaging/opticalCNN) |

## Repository

hybrid optical electronic convolutional neural networks

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.