Difference between revisions of "DeepDream"

From Wiki @ Karl Jones dot com
Jump to: navigation, search
(See also)
(External links)
Line 15: Line 15:
 
* [https://github.com/google/deepdream deepdream] @ GitHub - "The repository contains IPython Notebook with sample code, complementing Google Research blog post about Neural Network art."
 
* [https://github.com/google/deepdream deepdream] @ GitHub - "The repository contains IPython Notebook with sample code, complementing Google Research blog post about Neural Network art."
 
* [https://research.googleblog.com/2015/06/inceptionism-going-deeper-into-neural.html Inceptionism: Going Deeper into Neural Networks] - "We train an artificial neural network by showing it millions of training examples and gradually adjusting the network parameters until it gives the classifications we want."
 
* [https://research.googleblog.com/2015/06/inceptionism-going-deeper-into-neural.html Inceptionism: Going Deeper into Neural Networks] - "We train an artificial neural network by showing it millions of training examples and gradually adjusting the network parameters until it gives the classifications we want."
 +
* [https://research.googleblog.com/2015/07/deepdream-code-example-for-visualizing.html DeepDream - a code example for visualizing Neural Networks]
 +
* [http://thirdeyesqueegee.com/deepdream/2015/07/19/running-googles-deep-dream-on-windows-with-or-without-cuda-the-easy-way/ Running Google’s Deep Dream on Windows (with or without CUDA) – The Easy Way]
 +
* [http://www.makeuseof.com/tag/create-artificial-fever-dreams-googles-deepdream/ Create Your Own Artificial Fever Dreams with Google’s "DeepDream"]
 +
  
  

Revision as of 17:32, 7 September 2016

DeepDream is a computer vision program created by Google which uses a convolutional neural network to find and enhance patterns in images via algorithmic pareidolia, thus creating a dreamlike hallucinogenic appearance in the deliberately over-processed images.

Google's program popularized the term (deep) "dreaming" to refer to the generation of images that desired activations in a trained deep network, and the term now refers to a collection of related approaches.

See also

External links