This topic reminds me of this book from almost 20 years ago: https://mitpress.mit.edu/books/conceptual-spaces
On 6/11/19, [email protected] <[email protected]> wrote: > Generative Neural Networks, GAN. > This give give a relation from stating image or data to another. > > Latent Space Human Face Synthesis | Two Minute Papers #191: > https://www.youtube.com/watch?v=aR6M0MQBo2w > > A programmer select two images or data points. > A programmer put in 50 percent value into a GAM and train it to be 50 > percent transformation > between to faces. This 50 percent value is called a "latent value" > > Latent value can used for mapping distance in weight space. > https://towardsdatascience.com/graduating-in-gans-going-from-understanding-generative-adversarial-networks-to-running-your-own-39804c283399 > > The latent value can be used to make movement vectors through weight > space: > https://poloclub.github.io/ganlab/ > > Unsupervised GAN's are the way of the brain, artificial or real: > https://www.academia.edu/37275998/A_Nice_Artificial_General_Intelligence_How_To_Make_A_Nice_Artificial_General_Intelligence > ------------------------------------------ Artificial General Intelligence List: AGI Permalink: https://agi.topicbox.com/groups/agi/T395236743964cb4b-M2b1d135146b177e9ac438f33 Delivery options: https://agi.topicbox.com/groups/agi/subscription
