https://github.com/neemiasbsilva/autoencoder-mnits

Building Auto Encoder Compression and User Mnist Dataset
https://github.com/neemiasbsilva/autoencoder-mnits

auto-encoder-compression computer-vision deep-learning deep-learning-algorithms deep-learning-tutorial mnist-dataset

Last synced: 26 days ago
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Building Auto Encoder Compression and User Mnist Dataset

• Host: GitHub
• URL: https://github.com/neemiasbsilva/autoencoder-mnits
• Owner: neemiasbsilva
• License: gpl-3.0
• Created: 2020-02-19T14:27:41.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2020-02-24T02:56:20.000Z (over 5 years ago)
• Last Synced: 2025-01-05T13:13:41.113Z (9 months ago)
• Topics: auto-encoder-compression, computer-vision, deep-learning, deep-learning-algorithms, deep-learning-tutorial, mnist-dataset
• Language: Python
• Homepage:
• Size: 2.36 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: readme.md
  • License: LICENSE

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README

          
# Building Auto Encoder Compression and Use to Mnist Dataset



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This repository was created to build the deep Convolutional Neural Networks autoencoder to apply on mnist dataset.


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To know more about the implementation, bellow follows a brief description about the files:




    
 Model.py: this files contains the building of cnn architecture and the auto encoder construction;

    

 Generator Dataset: get the mnist dataset;

    

 The main file: this file contains main code that use to fit the auto encoder compression;

    

 Visualize: this file contains the result of auto encoder compression, which that run as the result the auto encoder compression.





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Note: For run this codes is necessary create a virtual environment and install the tensorflow, keras, and matplotlib.


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Sincerely: Neemias B. Silva