A game-theoretic approach for Generative Adversarial Networks

INIS

• algorithms 100%
• neural networks 66%
• stochastic processes 66%
• design 33%
• exact solutions 33%
• convergence 33%
• mapping 33%
• discriminators 33%
• implementation 33%
• approximations 33%
• trains 33%
• performance 33%
• solutions 33%
• equilibrium 33%
• variational methods 33%

Computer Science

• Generative Adversarial Networks 100%
• Algorithms 50%
• Neural Network 50%
• Discriminator 25%