Train Your ML Models Accurately with Amazon SageMaker

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  • เผยแพร่เมื่อ 26 ธ.ค. 2024

ความคิดเห็น • 10

  • @lashlarue7924
    @lashlarue7924 5 ปีที่แล้ว +1

    Good explanation of hyperparameter tuning! Simple and intuitive.

  • @venu589
    @venu589 3 ปีที่แล้ว +1

    How to train images with polygon bounding boxes in aws sagemaker?

  • @balajipuli
    @balajipuli 3 ปีที่แล้ว +1

    Great intro. Can you post the entire video series for SageMaker

  • @chanansh
    @chanansh 4 ปีที่แล้ว

    what does train_instance_count than 1 instance means? do I need to use spark clusters for that?

  • @chanansh
    @chanansh 4 ปีที่แล้ว

    how do I send parameters and collect metrics from BYO models?

  • @johnlemmon7140
    @johnlemmon7140 5 ปีที่แล้ว

    why it is not in the support > training section?

  • @sergiyvelytskyy2425
    @sergiyvelytskyy2425 ปีที่แล้ว

    Outdated videos. These examples don't exist any more

    • @awssupport
      @awssupport ปีที่แล้ว

      Thank you for sharing this feedback! I've submitted your comment internally for review. 🔍 ^LD

  • @ahmedf.elnokrashy2845
    @ahmedf.elnokrashy2845 4 ปีที่แล้ว

    Sorry, the confusion matrix is not correct, the first raw is true positive and then the false positive. please correct becouse that could make a confusion to the reviewer.

    • @HrisavBhowmick
      @HrisavBhowmick 3 ปีที่แล้ว +7

      its correct. make sure to check "model predictions" is written on top. if "model predictions" was written on left side then what u said would have been correct.