https://github.com/surajv311/image-denoising-using-autoencoder

(Py project) Used MNSIT dataset to denoise images using autoencoders.
https://github.com/surajv311/image-denoising-using-autoencoder

Last synced: about 1 month ago
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(Py project) Used MNSIT dataset to denoise images using autoencoders.

• Host: GitHub
• URL: https://github.com/surajv311/image-denoising-using-autoencoder
• Owner: Surajv311
• Created: 2020-06-11T12:23:36.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2020-08-13T03:20:55.000Z (about 5 years ago)
• Last Synced: 2025-06-22T00:02:16.326Z (4 months ago)
• Language: Jupyter Notebook
• Homepage:
• Size: 3.89 MB
• Stars: 3
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Image-denoising-using-autoencoder

### The following project uses tensorflow , keras , opencv libraries in the project.

Before cloning and running the project ensure that you have the necessary libraries installed in your environment.

You may install :


```conda install keras```


```conda install tensorflow```


```conda install numpy ```


```conda install pandas ```


```conda install matplotlib```


```conda install seaborn```


### MNSIT dataset is used in the project.


Autoencoder built using deeplearning models.

![img](https://github.com/Surajv311/Image-denoising-using-autoencoder/blob/master/images/img.jpg)