CNN with L2 Normalized Weights

In this project I tried to see what effect restricting the filters to be constant l2 norm would have. Also what would happen if we impose Hoyer activation sparsity or orthogonality condition.

Requirements

Install the requirements:

pip install -r requirements.txt

Then add current directory to $PYTHONPATH:

export PYTHONPATH="${PYTHONPATH}:/path/containing/project/directory"

Following commands assume the name of the folder is l2-normalized-network.

Configuration Files

config.toml and parameters.py contain the hyperparameters and other configuration settings related to the project. Settings that change less frequently are stored in config.toml. Settings that change more frequently are stored in parameters.py and can be specified as command line arguments when any python file is run.

License

Apache License 2.0