Udacity - Deep Learning Nanodegree Foundation
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data/simpsons
README.md
dlnd_tv_script_generation.html
dlnd_tv_script_generation.ipynb
helper.py
problem_unittests.py

README.md

Udacity Deep Laerning Foundations Nanodegree

Project 3: TV Script Generation

In this project, i'll generate your own Simpsons TV scripts using RNNs. I'll be using part of the Simpsons dataset of scripts from 27 seasons. The Neural Network you'll build will generate a new TV script for a scene at Moe's Tavern.

Running using conda!

Run this in command line

Step 1: Create a new environment

conda create --name tv-script-generation python=3

Step 2: Use the new env

source activate tv-script-generation

Step 3: Install dependencies

conda install -c conda-forge tensorflow=1.2.0
conda install numpy jupyter notebook

Step 4: Open the notebook to run it

jupyter notebook dlnd_tv_script_generation.ipynb

Project structure

This folder contains files for Udacity Deep Laerning Foundations Nanodegree Project 3: TV Script Generation.

dlnd_image_classification.ipynb - Main project file.

dlnd_image_classification.html - Neural network script results file.

problem_unittests.py - Unit tests provided by Udacity.

helper.py - Help functions provided by Udacity.

data/simpsons/moes_tavern_lines.txt - Some lines from a chapter of "The Simpsons" that will be used as input for the generation of a new scipt.