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https://github.com/tanyachutani/denoising-convolution-auto-encoder
Keras implementation of denoising convolution auto encoder on mnist
https://github.com/tanyachutani/denoising-convolution-auto-encoder
autoencoder cnn deep-learning denoising-autoencoders keras keras-neural-networks mnist tensorflow
Last synced: 21 days ago
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Keras implementation of denoising convolution auto encoder on mnist
- Host: GitHub
- URL: https://github.com/tanyachutani/denoising-convolution-auto-encoder
- Owner: TanyaChutani
- Created: 2020-04-05T16:15:15.000Z (almost 5 years ago)
- Default Branch: master
- Last Pushed: 2020-04-12T14:09:50.000Z (almost 5 years ago)
- Last Synced: 2024-11-11T21:26:20.257Z (3 months ago)
- Topics: autoencoder, cnn, deep-learning, denoising-autoencoders, keras, keras-neural-networks, mnist, tensorflow
- Language: Jupyter Notebook
- Homepage:
- Size: 51.8 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Denoising_ConvolutionAutoEncoder
Denoising Convolution AutoEncoder on mnist
## Data
Mnist dataset from keras.datasets
## Model
- Autoencoder, a deep neural network is implemented with Keras functional API.
- Input to model is noisy image and output is the same image without noise.
- Filter size is 16 followed by 32 and latent dimesion is 16 units.
- The loss function for training is mse.
## Result
You can download the pre-trained weights from here
https://drive.google.com/open?id=1KmnNJM29HADuNUIIM8MxNmDfkM9wTDgN
#### Input
#### Output
