Huber Loss code walkthrough

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Destrezas que aprenderás

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

Reseñas

4.9 (807 calificaciones)

  • 5 stars
    88,47 %
  • 4 stars
    9,54 %
  • 3 stars
    1,23 %
  • 2 stars
    0,61 %
  • 1 star
    0,12 %

DS

29 de mar. de 2021

I was looking for a course about this specific topics. Previous NN courses were cool, but I think they kep short on making more complex Architechtures, which is perfectly addressed in this course.

MS

24 de nov. de 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.

De la lección

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.

Impartido por:

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    Laurence Moroney

    Instructor

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    Eddy Shyu

    Curriculum Architect

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