Alexander Mordvintsev

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Cats, 2015/05

Unique NFT

Price: 5 ETH

Cats, one of the first DeepDream images produced by its inventor, Alex Mordvintsev in May 2015 before its public release.

DeepDream is a computer vision program developed by Google engineer Alexander Mordvintsev, utilizing a convolutional neural network (CNN) to enhance patterns in images through algorithmic pareidolia, producing surreal, psychedelic visuals. The program popularized the term "deep dreaming," referring to the generation of images that activate specific features in a trained deep network. Originating from Google's "Inception" neural network for the 2014 ImageNet Challenge, DeepDream's open-source code was released in July 2015. The process involves feeding an image into the neural network and iteratively adjusting it based on the network’s recognition of various features, amplifying edges, and shapes to create hallucinatory effects where familiar objects morph into complex, often bizarre patterns. DeepDream showcases the power of neural networks in image processing and offers insight into the workings of machine learning models, merging technology and art.

Provenance:

"Cats," created in May 2015, was minted as a unique NFT in June 2024 as part of the group show "Automat und Mensch 2.0," a retrospective on AI history at Kate Vass Galerie. The artwork was first shown in May 2019 as a small physical print, not for sale and included in multiple publications since then. Although DeepDream was released in July 2015 as an open-source for public, "Cats" was created before this public launch and was only permitted for sale since June 2024. This work was also featured in a 2018 article by curator Jason Bailey.

https://www.artnome.com/news/2018/12/30/deepdream-creator-unveils-very-first-images-after-three-years  

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SOLD OUT

Cats, 2015/05

Unique NFT

Price: 5 ETH

Cats, one of the first DeepDream images produced by its inventor, Alex Mordvintsev in May 2015 before its public release.

DeepDream is a computer vision program developed by Google engineer Alexander Mordvintsev, utilizing a convolutional neural network (CNN) to enhance patterns in images through algorithmic pareidolia, producing surreal, psychedelic visuals. The program popularized the term "deep dreaming," referring to the generation of images that activate specific features in a trained deep network. Originating from Google's "Inception" neural network for the 2014 ImageNet Challenge, DeepDream's open-source code was released in July 2015. The process involves feeding an image into the neural network and iteratively adjusting it based on the network’s recognition of various features, amplifying edges, and shapes to create hallucinatory effects where familiar objects morph into complex, often bizarre patterns. DeepDream showcases the power of neural networks in image processing and offers insight into the workings of machine learning models, merging technology and art.

Provenance:

"Cats," created in May 2015, was minted as a unique NFT in June 2024 as part of the group show "Automat und Mensch 2.0," a retrospective on AI history at Kate Vass Galerie. The artwork was first shown in May 2019 as a small physical print, not for sale and included in multiple publications since then. Although DeepDream was released in July 2015 as an open-source for public, "Cats" was created before this public launch and was only permitted for sale since June 2024. This work was also featured in a 2018 article by curator Jason Bailey.

https://www.artnome.com/news/2018/12/30/deepdream-creator-unveils-very-first-images-after-three-years  

SOLD OUT

Cats, 2015/05

Unique NFT

Price: 5 ETH

Cats, one of the first DeepDream images produced by its inventor, Alex Mordvintsev in May 2015 before its public release.

DeepDream is a computer vision program developed by Google engineer Alexander Mordvintsev, utilizing a convolutional neural network (CNN) to enhance patterns in images through algorithmic pareidolia, producing surreal, psychedelic visuals. The program popularized the term "deep dreaming," referring to the generation of images that activate specific features in a trained deep network. Originating from Google's "Inception" neural network for the 2014 ImageNet Challenge, DeepDream's open-source code was released in July 2015. The process involves feeding an image into the neural network and iteratively adjusting it based on the network’s recognition of various features, amplifying edges, and shapes to create hallucinatory effects where familiar objects morph into complex, often bizarre patterns. DeepDream showcases the power of neural networks in image processing and offers insight into the workings of machine learning models, merging technology and art.

Provenance:

"Cats," created in May 2015, was minted as a unique NFT in June 2024 as part of the group show "Automat und Mensch 2.0," a retrospective on AI history at Kate Vass Galerie. The artwork was first shown in May 2019 as a small physical print, not for sale and included in multiple publications since then. Although DeepDream was released in July 2015 as an open-source for public, "Cats" was created before this public launch and was only permitted for sale since June 2024. This work was also featured in a 2018 article by curator Jason Bailey.

https://www.artnome.com/news/2018/12/30/deepdream-creator-unveils-very-first-images-after-three-years