Udacity: Deep Learning Nanodegree - Project 3
Project Submission Generate TV Scripts Introduction
In this project, you'll generate your own Simpsons TV scripts using RNNs. You'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. Getting the project files
The project files can be found in our public GitHub repo, in the tv-script-generation folder. You can download the files from there, but it's better to clone the repository to your computer
git clone https://github.com/udacity/deep-learning.git
This way you can stay up to date with any changes we make by pulling the changes to your local repository with git pull. Submission
Ensure you've passed all the unit tests in the notebook. Ensure you pass all points on the rubric: https://review.udacity.com/#!/rubrics/725/view. When you're done with the project, please save the notebook as an HTML file. You can do this by going to the File menu in the notebook and choosing "Download as" > HTML. Ensure you submit both the Jupyter Notebook and it's HTML version together. Package the "dlnd_tv_script_generation.ipynb", "helper.py", "problem_unittests.py", and the HTML file into a zip archive, or push the files from your GitHub repo. Hit Submit Project below!
Advanced Projects
After completing this project, try applying what you learned to one of these problems.
Generate your own Bach music using like DeepBach: https://arxiv.org/pdf/1612.01010.pdf.
Predict seizures in intracranial EEG recordings on Kaggle: https://www.kaggle.com/c/seizure-prediction.