Folder [deconvnetlib](deconvnetlib) contains the DeconvNet implementation and scripts associated with the database generation and loading. Neural network architecture is defined in [deconvnetlib/network.py](deconvnetlib/network.py). Folder [beamlib](beamlib) is a git-submodule of a library used for beamforming.
Scripts `generate.py`, `train.py` and `test.py` provide interfaces to performing database generation, neural network training and testing from a shell script. Example of calls and a description of the flags are presented next. More elaborate scripts are available in the [templates](templates) folder.
Scripts `generate.py`, `train.py` and `test.py` provide interfaces to performing database generation, neural network training and testing from a shell script. Example of calls and a description of the flags are presented next. More elaborate scripts can be found in the [templates](templates) folder.
