课程: Understanding Generative AI in Cloud Computing: Services and Use Cases

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Introduction to Generative Adversarial Networks (GANs) on the cloud

Introduction to Generative Adversarial Networks (GANs) on the cloud

课程: Understanding Generative AI in Cloud Computing: Services and Use Cases

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Introduction to Generative Adversarial Networks (GANs) on the cloud

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- [Instructor] Creating images and videos has been revolutionized due to a machine learning model called Generative Adversarial Networks, or GANs. GANs is a machine learning model that has improved appearance in video generation, by outputting new or never-seen-before photos and videos that are often difficult to tell apart from the real ones. The GAN models consist of two components, a generator that creates the new data, a discriminator that evaluates the realism of the generated data. While these are things that you don't need to understand while operating a GAN model, it's helpful that you know at least the basics of how it works. GANs have grown in popularity recently, but they require a lot of computing power to operate, and thus the need for cloud computing. For example, when training on large data sets, a great deal of storage is required, one that public clouds can provide instantly. Again, the application within…

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