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Generative Adversarial Network Minimax Game Theory: Analysis of the Non-Cooperative Objective Function and Techniques for Stabilising Convergence

Generative Adversarial Networks (GANs) speak for one of the most influential ideas in modern machine learning, particularly in generative modelling. Unlike traditional optimisation problems that focus on minimising a single loss function, GANs are built on a minimax game between two competing neural networks....