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