In this project, you'll generate your own Seinfeld TV scripts using RNNs. You'll be using a Seinfeld dataset of scripts from 9 seasons. The Neural Network you'll build will generate a new, "fake" TV script.
Data Parameter
- Sequence length = 10
- Batch Size = 128
Training Parameter
- Epochs = 30
- Learning Rate = .001
- Embedding Dimension = 200
- Hidden Dimension in LSTM = 250
- n_layers(Number of RNN layers) = 2
- Optimizer = Adam
- Clone the directory by using this command.
git clone https://github.com/vjrahil/Script-Generator
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All the code is available inside dlnd_tv_script_generation.ipynb.
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The preprocessed text is saved in preprocess.p.
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RNN model is saved in trained_rnn.pt.
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Generated fake TV-Script is saved in generated_script1.txt.