Huber Loss code walkthrough

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Compétences que vous apprendrez

Functional API, Custom Layers, Custom and Exotic Models with Functional API, Custom Loss Functions

Avis

4.9 (727 évaluations)

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    88,58 %
  • 4 stars
    9,35 %
  • 3 stars
    1,37 %
  • 2 stars
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  • 1 star
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MS

24 nov. 2020

Really great course, it teaches you all about the TF API and how to customize it for your needs, i thought only pytorch can make that as it's really pythonic, but i am a nieve noob what can i say.

PD

14 janv. 2021

Wow! What a course it is! Amazing. Thanks to DeepLearningAi and Laurence for this course. But the mentors should be more active in the discussion forum. Not everyone is not comfortable with slack.

À partir de la leçon

Custom Loss Functions

Loss functions help measure how well a model is doing, and are used to help a neural network learn from the training data. Learn how to build custom loss functions, including the contrastive loss function that is used in a Siamese network.

Enseigné par

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    Laurence Moroney

    Instructor

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    Eddy Shyu

    Senior Curriculum Developer

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