A collection of 237 Cats created by GAN machine learning techniques. Free to mint for holders of Series 0 and Series 1 metaGAN NFTs.
A generative adversarial network (GAN) is a machine learning model in which two neural networks compete with each other completely unsupervised to become more accurate in their predictions.
The model begins training by generating images of random noise before slowly 'learning' the source images via a feedback loop and producing graphics closer and closer to the inputs' likeness.
Mkt cap
Min price
24h Avg price
Zero-royalty trades
Wash trading
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Metadata StorageCentralized storage
Artifact StorageCentralized storage
Collection Sales0 sales per last month
Editable MetadataEditable metadata stored on a server
Creator Royalty5%
External ContractCustom contract
Token TypeERC-721
Unique OwnersCollection tokens10 tokens
Unique Owners6 / 60%
Past Owners0 of 0 owners is suspicious
Suspicious Sales0 potential sales
Missed Royalty Payments0% missed royalty fee
CopymintsThe original collection.
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