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
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.