
thumb|The Mona Lisa with DeepDream effect using VGG16 network trained on ImageNet
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.
Discovered by embedding cosine similarity (sentence-transformers MiniLM, 384-dim).