MIT 6.S191 (2019): Visualization for Machine Learning (Google Brain)




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MIT Introduction to Deep Learning 6.S191: Lecture 7
Data Visualization for Machine Learning
Lecturer: Fernanda Viegas
Google Brain Guest Lecture
January 2019

For all lectures, slides and lab materials: http://introtodeeplearning.com

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Comment List

  • Alexander Amini
    December 15, 2020

    What an amazing lecture and presentation 👏

  • Alexander Amini
    December 15, 2020

    Is it a graduate or undergraduate course ?

  • Alexander Amini
    December 15, 2020

    Great topic! Great talk!

  • Alexander Amini
    December 15, 2020

    Wow

  • Alexander Amini
    December 15, 2020

    Out of imagination concept! Moving towards Natural Language…

  • Alexander Amini
    December 15, 2020

    Good Presentation and informative on a deep level. You always explained in an impressive way. Can you please provide me your mail I'd.

  • Alexander Amini
    December 15, 2020

    sometimes there is no one-on-one mapping between 2 different languages, e.g., there is just no a corresponding word in language A for a to-be-translated word in language B, how will the computer deal with such case?

  • Alexander Amini
    December 15, 2020

    Mistake in cifar10, impressive !!!

  • Alexander Amini
    December 15, 2020

    Watching this after "Connections between physics and deep learning" by Max Tegmark is interesting (2016). He focuses a lot on things like locality that exist in the natural world we live in and neural networks. It is a very "aHa!" moment to see the languages behaving in such a local way in the embedding projector. I think that's very neat.

  • Alexander Amini
    December 15, 2020

    The multi-lingual embedding space is blowing my mind

  • Alexander Amini
    December 15, 2020

    thnx!

  • Alexander Amini
    December 15, 2020

    awesome talk! amazing tools!

  • Alexander Amini
    December 15, 2020

    <3

  • Alexander Amini
    December 15, 2020

    Great!

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