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- Stochastic Gradient Description: Stochastic gradient is an optimization method used in the field of machine learning. This approach is based on the idea that(...) Read more
- State-Action Value Function Description: The State-Action Value Function (Q) is a fundamental concept in reinforcement learning, referring to a function that estimates the(...) Read more
- Satisfaction Rate Description: The Satisfaction Rate is a metric that measures the proportion of successful actions taken by an agent in a given environment. In(...) Read more
- StyleGAN Description: StyleGAN is a type of Generative Adversarial Network (GAN) that stands out for its ability to generate high-quality and realistic(...) Read more
- Supervised GAN Description: A Supervised GAN is a variant of Generative Adversarial Networks (GANs) that incorporates supervised learning techniques to enhance(...) Read more
- Semi-supervised GAN Description: Semi-supervised GANs are a variant of Generative Adversarial Networks (GANs) that combine labeled and unlabeled data to train deep(...) Read more
- Self-attention GAN Description: Self-attention GANs are a variant of Generative Adversarial Networks (GANs) that incorporate self-attention mechanisms to enhance(...) Read more
- Spatial GAN Description: Spatial GAN, or Spatial Generative Adversarial Network, is a variant of Generative Adversarial Networks (GANs) that specializes in(...) Read more
- SAGAN Description: SAGAN, which stands for 'Self-Attention Generative Adversarial Network', is a specific type of Generative Adversarial Network (GAN)(...) Read more
- Stacked GAN Description: Stacked GAN is an advanced architecture of Generative Adversarial Networks (GAN) that involves combining multiple generative(...) Read more
- Synthesis GAN Description: Synthesis Generative Adversarial Networks (GANs) are a type of artificial intelligence architecture used to generate new data(...) Read more
- Semantic GAN Description: A Semantic GAN is a type of Generative Adversarial Network (GAN) that specializes in generating images from semantic information.(...) Read more
- Style Transfer GAN Description: Style Transfer GANs are a type of Generative Adversarial Networks (GAN) designed to apply the visual style of one image to another(...) Read more
- Spatial-Temporal GAN Description: Spatio-Temporal GANs (Generative Adversarial Networks) are an advanced variant of generative adversarial networks that specialize(...) Read more
- Super-resolution GAN Description: Super-resolution GANs are a type of generative adversarial networks specifically designed to enhance image quality. Their main(...) Read more
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