This repository was created to build the deep Convolutional Neural Networks autoencoder to apply on mnist dataset.
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.
Note: For run this codes is necessary create a virtual environment and install the tensorflow, keras, and matplotlib.
Sincerely: Neemias B. Silva