In this project, Seinfeld TV scripts are generated using RNNs (Recurrent Neural Networks). Part of the Seinfeld dataset of scripts from 9 seasons is used. The Neural Network will generate a new, "fake" TV script, based on patterns it recognizes in this training data.
-
Clone the repository and navigate to the downloaded folder.
-
Make sure you have already installed the necessary Python packages according to the requirements.txt in the repository.
-
Open a terminal window and navigate to the project folder. Open the notebook using:
jupyter notebook dlnd_tv_script_generation.ipynb
NOTE: If the code is taking too long to run switch to running the code on a GPU.