https://github.com/sushantdhumak/generating-tv-scripts

Deep Learning Nanodegree Project : To generate Simpsons TV scripts using part of the Simpsons data-set of scripts from 27 seasons.
https://github.com/sushantdhumak/generating-tv-scripts

batching hyperparameter-tuning lookup-table lstm lstm-neural-network neural-network preprocessing recurrent-neural-network tensorflow tokenization tokenized-sentences tuning-parameters unit-testing word-embeddings

Last synced: 15 days ago
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Deep Learning Nanodegree Project : To generate Simpsons TV scripts using part of the Simpsons data-set of scripts from 27 seasons.

• Host: GitHub
• URL: https://github.com/sushantdhumak/generating-tv-scripts
• Owner: sushantdhumak
• Created: 2019-11-15T19:54:30.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2019-11-15T20:07:13.000Z (about 5 years ago)
• Last Synced: 2025-01-01T18:34:24.079Z (about 1 month ago)
• Topics: batching, hyperparameter-tuning, lookup-table, lstm, lstm-neural-network, neural-network, preprocessing, recurrent-neural-network, tensorflow, tokenization, tokenized-sentences, tuning-parameters, unit-testing, word-embeddings
• Language: Jupyter Notebook
• Size: 197 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Project: Generating-TV-Scripts

## Deep Learning Nanodegree

### Disclaimer:

The given solutions in this project are only for reference purpose. 

### Kaggle Competition Link:

https://www.kaggle.com/wcukierski/the-simpsons-by-the-data

## Project Overview

In this project, we'll generate our own Simpsons TV scripts using Recurrent Networks and Long Short-Term Memory Networks. 

We’ll generate new text, and use recurrent networks to generate new text that resembles a training set of TV scripts. 

We'll be using part of the Simpsons dataset of scripts from 27 seasons. The Neural Network we'll build will generate a new TV script for a scene at Moe's Tavern.