DeepDream

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.[1][2][3]

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

  1. ^ Cite error: The named reference codexample was invoked but never defined (see the help page).
  2. ^ Cite error: The named reference goingdeeper was invoked but never defined (see the help page).
  3. ^ Cite error: The named reference arxiv was invoked but never defined (see the help page).

Developed by StudentB