TV Script Generator

Project Overview

In this project, I generated a Seinfeld TV script using RNNs. The Seinfled dataset of scripts from 9 seasons was used to train. The Neural Network I generated a new, "fake" TV script, based on patterns it reconginzes in this training data.

Project Instruction

Instruction

1. Clone the repository and navigate to the downloaded folder.

   	git clone https://github.com/ayowolet/TV-Script-Generation.git
   	cd TV-Script-Generation
   

2. Open the dlnd_tv_script_generation.ipynb file. Of course, you can find HTML version of the file.

   	jupyter notebook dlnd_tv_script_generation.ipynb
   

3. Read and follow the instructions! This repository already includes the dataset in a form of txt flie in data folder.

Project Information

Contents

• 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

Libraries

The list below represents main libraries and its objects for the project.

• PyTorch (LSTM)