This repository is my solution to Project 3 of Udacity's Deep Learning Nanodegree. In this project, I built a Recurrent Neural Network architecture which learns scripts from 9 seasons of the Seinfeld dataset and generates a new "fake" TV Script based on the same format.
- 2 layer uni-directional LSTM with embeddings (learned during the training)
jerry: what about me?
jerry: i don't have to wait.
kramer:(to the sales table)
elaine:(to jerry) hey, look at this, i'm a good doctor.
newman:(to elaine) you think i have no idea of this...
elaine: oh, you better take the phone, and he was a little nervous.
kramer:(to the phone) hey, hey, jerry, i don't want to be a little bit.(to kramer and jerry) you can't.
jerry: oh, yeah. i don't even know, i know.
jerry:(to the phone) oh, i know.
kramer:(laughing) you know...(to jerry) you don't know.
- Hashir Ahmad - full project - GitHub
This project is licensed under the MIT License - see the LICENSE file for details