Difference between revisions of "DeepDream"
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Revision as of 15:56, 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."