DeepDreaming
English
The Mona Lisa with DeepDream effect using VGG16 network trained on ImageNet
Etymology
From DeepDream + -ing.
Noun
DeepDreaming (uncountable)
- The use of 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.
- 2015 August 3, Emerson Rosenthal, “Google's Deep Dream for Dummies”, in Vice, archived from the original on 5 August 2021:
- #DeepDreaming is already as easy as a "click to upload" online tool.
- 2017, Antonio Gulli; Amita Kapoor, TensorFlow 1.x Deep Learning Cookbook: Over 90 unique recipes to solve artificial-intelligence driven problems with Python, Packt, →ISBN, page 153:
- Many websites allow you to play directly with DeepDreaming. […] After the initial results presented in 2015, many new additional papers and blog postings were presented about DeepDreaming: […]
- 2020, Neil Leach, “Do Robots Dream of Digital Buildings?”, in Philip F. Yuan, Mike Xie, Neil Leach, Jiawei Yao, and Xiang Wang, editors, Architectural Intelligence: Selected Papers from the 1st International Conference on Computational Design and Robotic Fabrication (CDRF 2019), Springer Nature Singapore Pte Ltd, published 2022, →ISBN, page 61:
- The term “dream,” however, has been usedemalbeit metaphorically—in connection with a technique, DeepDreaming, discovered by Alex Mordvintsev of Google Artists and Machine Intelligence [AMI], while analyzing the operations at work in the process of recognition using artificial neural network.
- 2022, “Interview: Matias del Campo”, in Dimensions, volume 35, A. Alfred Taubman College of Architecture and Urban Planning, ISSN 1074-6536, page 089, column 2:
- MdC [Matias del Campo]: I am pretty sure it is probably the first built project that used DeepDreaming and style transfers as a design method.
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Further reading
DeepDream on Wikipedia.Wikipedia