TV Script Generator

Recurrent Neural Networks

This project aims at successfully generating fake tv scripts using recurrent neural networks

Installing / Getting started

A quick introduction of the minimal setup you need to get the classifier up & running.

git clone https://github.com/abhigyan2311/tv-script-generator.git
cd tv-script-generator
conda env create -f environment.yml
conda activate deeplearning
jupyter notebook dlnd_tv_script_generation.ipynb

Features

The classifier notebook implements the following methods:

• Successfully generates fake tv scripts based on Seinfeld tv series scripts

The best minimum loss was achieved of 3.19.

Hyperparameters

• Sequence Length - 200
• Batch Size - 128
• Number of epochs - 10
• Learning Rate - 0.001
• Embedding Dimension - 400
• Hidden Dimension - 256
• Number of RNN Layers - 2

Contributing

"If you'd like to contribute, please fork the repository and use a feature branch. Pull requests are warmly welcome."

Licensing

"The code in this project is licensed under Apache 2.0 license."