TensorFlow Tutorial 14 - Callbacks with Keras and Writing Custom Callbacks

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  • Опубліковано 25 гру 2024

КОМЕНТАРІ • 24

  • @AladdinPersson
    @AladdinPersson  2 роки тому

    I was inspired and learned the basics of TensorFlow after I completed the TensorFlow specialization on coursera. Personally I think these videos I created give a similar understanding but if you wanna check it out you can. Below you'll find both affiliate and non-affiliate links, the pricing for you is the same but a small commission goes back to the channel if you buy it through the affiliate link which helps me create more future videos.
    affiliate: bit.ly/3JyvdVK
    non-affiliate: bit.ly/3qtrK39

  • @ionelcarasca
    @ionelcarasca 5 місяців тому

    Awesome tutorial. Better than some paid courses.

  • @serdarb8995
    @serdarb8995 4 роки тому +4

    what a great tutor you are. You are by far the best content creator on the topic. Great job Aladdin please keep going on creating awesome resources.

  • @EOh-ew2qf
    @EOh-ew2qf 2 роки тому

    best tensorflow tutorial in youtube

  • @altafqureshi7290
    @altafqureshi7290 4 роки тому +3

    its the video that I was looking for. amazing mate. keep the work going......

  • @atejap
    @atejap 3 роки тому

    Great playlist. Good Job

  • @alikasim7658
    @alikasim7658 3 роки тому +1

    Awsome, Thanks for the video.
    Could you please make a video for creating custom callback that is invoked from a custom training function.
    Thanks

  • @ashishbhatnagar8682
    @ashishbhatnagar8682 4 роки тому

    Great video as always

  • @omarsalah3786
    @omarsalah3786 3 роки тому

    amazing course

  • @curdyco
    @curdyco 2 роки тому

    would you please you make a video on how to use custom callbacks in custom training loops?

  • @wolfisraging
    @wolfisraging 4 роки тому +1

    my all time favorite one is TerminateOnNaN 😆.

  • @moseshu6917
    @moseshu6917 4 роки тому +1

    that's a good course.can you share one course about how to implement custom neural layers by tf or pytorch layers?for example encoder and decoder.thanks

    • @AladdinPersson
      @AladdinPersson  4 роки тому +2

      Yeah I will create more advanced tutorials in the future, just want to cover the basics first:)

  • @tilmanbacher1422
    @tilmanbacher1422 3 роки тому

    Good stuff!

  • @marymaemagdalenegregore2693
    @marymaemagdalenegregore2693 2 роки тому

    hi thank you for this tutorial, how about callbacks for object detection pretrained models model zoo

  • @fredca7178
    @fredca7178 3 роки тому

    Is there a way to save the every output of a given layer after each training step? Let's say, I've 5 batches of 200 samples each. In every epoch, I want to save all the 1000 outputs of the input layer, the output layer and one of the hidden layers during training into a variable/file, to be used later. Reason: I need those outputs to make some ITL estimates. From now, thanks for the attentiono /

  • @apocalypt0723
    @apocalypt0723 4 роки тому

    notification squad where you at

  • @0730pleomax
    @0730pleomax 4 роки тому

    awesome