Software requirements:

• Python v > 3.5
• Numpy v > 1.12
• Tensorflow v > 1.0
• Pandas > v -0.18
• scikit-learn v > 0.17.1 (for feature extraction in text task)

Summary of the input and outputs of the code:

• The specifications for the particular run, including the task, dataset, model, form of the recurrent matrices, the device to run on, initialization, optimizer are given inside the dictionary named 'input_dictionary' as an argument to the main function. The outputs are written in a .npy file after being done with each random hyper-parameter configuration.

Loading custom dataset:

• The function 'load_data()' in rnns.py handles the data loading. The users can customize this function accordingly.