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Introduction to Machine Learning. Episode 19, Making Photorealistic Images with GANs.

Contributor(s): Material type: FilmFilmPublisher number: 13413166 | KanopyPublisher: The Great Courses, 2020Publisher: [San Francisco, California, USA] : Kanopy Streaming, 2023Description: 1 online resource (streaming video file) (30 minutes): digital, .flv file, soundContent type:
  • two-dimensional moving image
Media type:
  • computer
Carrier type:
  • online resource
Subject(s): Genre/Form: Online resources: Michael LittmanSummary: A new approach to image generation and discrimination pits both processes against each other in a "generative adversarial network," or GAN. The technique can produce a new image based on a reference class, for example making a person look older or younger, or automatically filling in a landscape after a building has been removed. GANs have great potential for creativity and, unfortunately, fraud.
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Film

In Process Record.

Michael Littman

Originally produced by The Great Courses in 2020.

A new approach to image generation and discrimination pits both processes against each other in a "generative adversarial network," or GAN. The technique can produce a new image based on a reference class, for example making a person look older or younger, or automatically filling in a landscape after a building has been removed. GANs have great potential for creativity and, unfortunately, fraud.

Mode of access: World Wide Web.

In English

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