TensorFlow Extended (TFX): Machine Learning Pipelines and Model Understanding (Google I/O'19)

Поділитися
Вставка
  • Опубліковано 25 гру 2024

КОМЕНТАРІ • 9

  • @jugsma6676
    @jugsma6676 5 років тому +1

    "Learning from the pitfall of others is very much important to build your own system"

  • @vcool
    @vcool 5 років тому +1

    This presents more ways to lock-in yourself to Tensorflow.

    • @ericbragas4719
      @ericbragas4719 5 років тому +3

      As opposed to what?

    • @RobertLugg
      @RobertLugg 5 років тому

      Underlying all this are projects like ml_metadata, protobufs, and Beam. If you wished, you could pick and chose to use only those libraries and forget about TFX. I agree even those restrict you to some degree. Its then your decision if the benefits of reusing their code outweigh the risks associated with depending on a "3rd party" library.

  • @theneuralmancer
    @theneuralmancer 5 років тому

    Is there sample code available for all of this somewhere?

    • @JarekWilkiewicz
      @JarekWilkiewicz 5 років тому +1

      best place to start is the TFX Developer Tutorial: www.tensorflow.org/tfx/tutorials/tfx/workshop

  • @MrChuyya
    @MrChuyya 5 років тому

    Where’s the slide view? Oh saw a quick pullback :)

  • @binwangcu
    @binwangcu 5 років тому

    pickled tree in a flask, up and running less than an hour :)