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    LM101-031: How to Analyze and Design Learning Rules using Gradient Descent Methods (RERUN)

    LM101-031: How to Analyze and Design Learning Rules using Gradient Descent Methods (RERUN)

    FromLearning Machines 101

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    LM101-031: How to Analyze and Design Learning Rules using Gradient Descent Methods (RERUN)

    FromLearning Machines 101

    ratings:
    Length:
    32 minutes
    Released:
    Jun 21, 2015
    Format:
    Podcast episode

    Description

    In this rerun of Episode 16, we introduce the important concept of gradient descent which is the fundamental principle underlying learning mechanisms in a wide range of machine learning algorithms. Check out the transcripts of this episode and related references and software at: www.learningmachines101.com !!!
    Released:
    Jun 21, 2015
    Format:
    Podcast episode

    Titles in the series (85)

    Smart machines based upon the principles of artificial intelligence and machine learning are now prevalent in our everyday life. For example, artificially intelligent systems recognize our voices, sort our pictures, make purchasing suggestions, and can automatically fly planes and drive cars. In this podcast series, we examine such questions such as: How do these devices work? Where do they come from? And how can we make them even smarter and more human-like? These are the questions which will be addressed in the podcast series Learning Machines 101.