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Introduction to Machine Learning. Episode 4, Neural Networks for Perceptual Rules.

Contributor(s): Material type: FilmFilmPublisher number: 13413135 | 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: Graduate to a more difficult class of problems: learning from images and auditory information. Here, it makes sense to address the task more or less the way the brain does, using a form of computation called a neural network. Explore the general characteristics of this powerful tool. Among the examples, compare decision-tree and neural-network approaches to recognizing handwritten digits.
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Michael Littman

Originally produced by The Great Courses in 2020.

Graduate to a more difficult class of problems: learning from images and auditory information. Here, it makes sense to address the task more or less the way the brain does, using a form of computation called a neural network. Explore the general characteristics of this powerful tool. Among the examples, compare decision-tree and neural-network approaches to recognizing handwritten digits.

Mode of access: World Wide Web.

In English

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