Lecture 5.4 - CNNs for Sequential Data

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  • Опубліковано 2 сер 2024
  • Temporal Convolutional Networks (TCNs) and convolutional networks as an alternative to recurrent architectures.

КОМЕНТАРІ • 25

  • @37kuba
    @37kuba 8 місяців тому +1

    Superb
    Superb explanation,
    Superb explanation thanks
    Superb explanation thanks a
    Superb explanation thanks a lot!
    With no predictions now: Wish you all the best and am very grateful for your work.

  • @sanandsule7350
    @sanandsule7350 3 роки тому +7

    Amazing explanation! I had been meaning to learn about Wavenet / TCNs lately and this has helped me to get a quick start in it.

  • @JoeySpronck
    @JoeySpronck 3 роки тому

    Awesome! Very clear and informative. This really helps me out to get a quick grasp on how TCNs work.
    Thanks a lot!

  • @tianyuez
    @tianyuez 2 роки тому

    Clear and easy to follow! Thanks!

  • @davealsina848
    @davealsina848 Рік тому

    Loved this, thanks a lot now I undersand better this things and feel more confident to jump into the code part.

  • @griffgruffl1
    @griffgruffl1 3 роки тому

    Excellent video, thank you!

  • @syl3953
    @syl3953 3 роки тому

    Very well explained, congrats !

  • @dr.vinodkumarchauhan3454
    @dr.vinodkumarchauhan3454 2 роки тому

    Very clear, thanks!

  • @joosasquacht
    @joosasquacht 2 роки тому

    bru i never commented anything on youtube. incredibly clear explanation. you saved ma ass

  • @calendr13
    @calendr13 3 роки тому

    very well done!

  • @fatcat4791
    @fatcat4791 2 роки тому

    Thanks for your explanation.

  • @davealsina848
    @davealsina848 Рік тому

    love this two times

  • @stracci_5698
    @stracci_5698 2 роки тому

    Very clean tysm

  • @hz3014
    @hz3014 3 роки тому

    Wow you are awesome

  • @nadeem1969100
    @nadeem1969100 8 місяців тому

    Currently I am doing research work on TCN

  • @ohgay_
    @ohgay_ Рік тому

    Great explanation. It did throw light on the Bai et al 2018 paper, however, I want to get either an affirmation or clarification on the second disadvantage of TCNs. Did you mean that unrolling fixed receptive fields is not possible during training for long inputs?

  • @mr.django8409
    @mr.django8409 Рік тому

    Hello sir, am very thankful for your videos learnt alot from them. I just need some help in how to use TCN for anomaly detection for multivariate time series data.

  • @xiaoweidu4667
    @xiaoweidu4667 Рік тому

    good tutorial

  • @martinsonuorah3621
    @martinsonuorah3621 2 роки тому

    The video is awesome. how do I get all the lecture 5 series.

  • @StevenSmith68828
    @StevenSmith68828 Рік тому

    I think I’m taking this whole trying to predict Bitcoin a bit too far. Any ideas of potential features? Theoretically I can put the whole stock market pricing data. Not sure what time series data to give it.

  • @premkumarsuresh9647
    @premkumarsuresh9647 Рік тому

    Great Explanation! I have few doubts regarding TCN. I am working on a project Emotion Recognition based on ECG. I need some clarification on constructing TCN for my project. It would be really helpful.

  • @diegocorredor281
    @diegocorredor281 3 роки тому

    I wonder if it is possible to contact the guy in the video. I would like to discuss something

    • @dlvu6202
      @dlvu6202  3 роки тому

      Hi Diego, you can find David's details here www.davidromero.ml/ He's on twitter, or you can send him an email.

    • @diegocorredor281
      @diegocorredor281 3 роки тому

      @@dlvu6202Hi, thank you very much.
      Cheers!

  • @qiangchen4891
    @qiangchen4891 2 роки тому

    Are you author of that paper?