Research: Neural Network Nonsense

Exploring the Unexplored: DeepDreams

DeepDreams is a research project aimed at creating an algorithm that can generate the most nonsensical, illogical, and yet somehow fascinating images using a neural network.

We've trained our network on a dataset of 10,000 images of abstract art, 5,000 cat pictures, and 3,000 random text files.

Our goal is to create a network that can produce output that's more interesting than a kindergartener's art project.

Current Status: Failed (but we're working on it)

Current Output:

See more failed art

Future Plans:

1. Increase training dataset to include more cat pictures

2. Add more layers to the network

3. Convince our investors to give us more funding (good luck with that)

Subpages:

Failed Art Gallery

Network Architecture

Data Sources