DeepDream - Wikipedia

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. The DeepDream software, originated in a deep convolutional network codenamed "Inception" after the film of the same name,[1][2][3] was developed for the ImageNet Large-Scale Visual Recognition Challenge (ILSVRC) in 2014[3] and released in July 2015. The dreaming idea and name became popular on the internet in 2015 thanks to Google's DeepDream program. The idea dates from early in the history of neural networks,[4] and similar methods have been used to syn

DeepDream - Wikipedia Jump to content From Wikipedia, the free encyclopedia Software program Not to be confused with Google Daydream . For the Richard James Simpson album, see Deep Dream (album) . The Mona Lisa with DeepDream effect using VGG16 network trained on ImageNet Part of a series on Machine learning and data mining Paradigms Supervised learning Unsupervised learning Semi-supervised learning Self-supervised learning Reinforcement learning Meta-learning Online learning Batch learning Curriculum learning Rule-based learning Neuro-symbolic AI Neuromorphic engineering Quantum machine learn

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