In this project, I generated my own Seinfeld TV scripts using RNNs. I used part of the Seinfled dataset of scripts from 9 seasons. The Neural Network generated a new, "fake" TV script, based on patterns it recognizes in this training data.
- Get the Data
- Explore the Data
- Implement Pre-processing Functions
- Lookup Table
- Tokenize Punctuation
- Pre-process all the data and save it
- Check Access to GPU
- Input
- Batching
- Test your dataloader
- Sizes
- Values
- Build the Neural Network
- Define forward and backpropagation
- Neural Network Training
- Train Loop
- Hyperparameters
- Train
- Generate TV Script
- Generate text
- Generate a new script