RookieFCB的专栏

GAN Algorithm Initialize θd\theta_dθd​ for D and θg\theta_gθg​ for G In each training iteration: Sample m examples {x1,x2,…,xm}\{ x^1, x^2, \dots, x^m \}{x1,x2,…,xm} from database Sample m noise sam...

GAN Lecture 2 Conditional Generation by GAN Algorithm In each traing iteration: Sample m positive examples {(c1,x1),(c2,x2),…,(cm,xm)}\{(c^1, x^1), (c^2, x^2), \dots, (c^m, x^m)\}{(c1,x1),(c2,x2),…...