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VAE-Mnist-CoordConv

2020-02-19 | |  68 |   0 |   0

An intriguing failing of convolutional neural networks and the CoordConv solution

Implementation of the CoordConv (Convolution and Deconvolution) for a Variational Autoencoder applied to the MNIST dataset

1. Install dependencies:

pip install -r requirements.txt

2. Run training without coordConv layers

python trainVAE.py --useCoordConv False

3. Run training with coordConv layers

python trainVAE.py --useCoordConv True

4. Display Reconstructions on TensorBoard

tensorboard --logdir logdir

5. Compare reconstructions:

python compare_generated_images.py


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