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
24h Volume
Total volume
24h Sales
Total sales
Mint price
Sales
1H
0 sales
Critical Risk
Details
Centralized storage
Centralized storage
0 sales per last month
Editable metadata stored on a server
5%
Custom contract
ERC-721
Collection tokens10 tokens
Unique Owners6 / 60%
0 of 0 owners is suspicious
0 potential sales
0% missed royalty fee
The original collection.
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