This is the code for "How to Generate Images - Intro to Deep Learning #14' by Siraj Raval on YouTube
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README.md

how_to_generate_images

This is the code for "How to Generate Images - Intro to Deep Learning #14' by Siraj Raval on YouTube

Coding Challenge - Due Date Thursday, April 20th at 12 PM PST

This weeks challenge is to use a VAE to generate images of something other than MNIST! You can use Keras for your code as well. Bonus points if you generate video like this.

Overview

This is the code for this video on Youtube by Siraj Raval as part of the Udacity Deep Learning Nanodegree. We're using a variational autoencoder to generate novel digit images after training on the MNIST dataset. We use Keras in this repository so the code is relatively simple, for a more in depth look (at say, reparameterization check this repo).

Dependencies

  • numpy
  • keras
  • scipy
  • matplotlib

Install dependencies using pip.

Usage

Run jupyter notebook in terminal and the code will pop up in your browser. Install it here if you don't have it.

Credits

Credits go to the creator of Keras. I've merely created a wrapper to get people started.