The script files in this directory provide a range of auxiliary tools for RNNLIB. 
In order for these to work, the directory containing the ‘rnnlib’ binary must be added to your path. 
The ‘utilities’ directory must be added to your pythonpath for the experiments in the ‘examples’ directory to work. 
The most important utilities are:

- dump_sequence_variables.sh: writes to file all the internal variables (activations, delta terms etc.) of the network while processing a single sequence
- plot_variables.py: plots a single variable file saved with 'dump_sequence_variables'
- plot_errors.sh: plots the error curves written to a log file during training
- normalise_inputs.sh: adjusts the inputs of one or more netcdf files to have mean 0, standard deviation 1 (relative to the first file, which should be used for training)
- gradient_check.sh: numerically checks if the network's backward pass correctly calculates the gradient
 
All files should provide a list of arguments if called with no arguments.
The python scripts will give a list of optional arguments, defaults etc. if called with the single argument '-h'.
The following python libraries are required for some of the scripts:
 
- SciPy (all scripts)
- Pylab (all plotting/visualisation scripts)
- PIL (plot_variables.py)
- ScientificPython (NOT scipy; for normalise_inputs.sh)