Browsing by Subject "Generative Adversarial Networks"
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Using Novelty Seeking Reward Evolution Strategies to Train Generative Adversarial Networks
(2018-12-14)Generative Adversarial Networks (GANs) are a subclass of deep generative models that aim to implicitly learn to model a data distribution. While GANs have gained wide research attention, and achieved much success, when ... -
Video Outpainting using Conditional Generative Adverarial Networks
(2021)Recent advancements in machine learning and neural networks have pushed the boundaries of what computers can achieve. Generative adversarial networks are a specific type of neural network that have proved wildly successful ...