In this project, I've generated Seinfeld TV scripts using RNNs. I've used Seinfeld dataset of scripts from 9 seasons (data directory) to build the Neural Network which is able to generate a new, "fake" TV script.
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The jupyter notebook file "dlnd_tv_script_generation.ipynb" contain the main code.
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The "helper.py" and "problem_unittests.py " are used for loading the text file and preprocess the input data and testing each block of code.