How-to-Generate-Art-Demo

This is the improved code for "How to Generate Art - Intro to Deep Learning #8' by Siraj Raval on YouTube

##Overview

This is the code for this video on Youtube by Siraj Raval as part of the Intro to Deep Learning Nanodegree with Udacity. We're going to re-purpose the pre-trained VGG16 convolutional network that won the ImageNet competition in 2014 for image classification to transfer the styles of a given image to another two. This is the original paper on the topic.

##Dependencies

run pip install -r requirements.txt to install the necessary dependencies

##Usage

If it doesn't exist, create a file called ~/.keras/keras.json and make sure it looks like the following:

{
    "image_dim_ordering": "tf",
    "epsilon": 1e-07,
    "floatx": "float32",
    "backend": "tensorflow"
}

Then you can run the code via typing jupyter notebook into terminal