Difference between revisions of "DeepDream"

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* [[Algorithmic art]]
 
* [[Algorithmic art]]
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* [[Computer vision]]
 
* [[Procedural textures]]
 
* [[Procedural textures]]
 
* [[Texture synthesis]]
 
* [[Texture synthesis]]

Revision as of 16:57, 3 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

  • DeepDream @ Wikipedia.org
  • deepdream @ GitHub - "The repository contains IPython Notebook with sample code, complementing Google Research blog post about Neural Network art."
  • 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."