DeepDream
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thumb|The Mona Lisa with DeepDream effect using VGG16 network trained on ImageNet
~8 min read
Encyclopedic overview
6 sectionsContents
- History
- Process
- Usage
- See also
- References
- External links
thumb|The Mona Lisa with DeepDream effect using VGG16 network trained on ImageNet
DeepDream is a computer vision program created by Google engineer Alexander Mordvintsev that uses a convolutional neural network to find and enhance patterns in images via algorithmic pareidolia, thus creating a dream-like appearance reminiscent of a psychedelic experience in the deliberately overprocessed images.
Excerpted from Wikipedia’s “DeepDream” article, available under the CC BY-SA 4.0 licence.