Dropout Regularization

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Destrezas que aprenderás

Hyperparameter, Tensorflow, Hyperparameter Optimization, Deep Learning

Reseñas

4.9 (56,711 calificaciones)
  • 5 stars
    88.32%
  • 4 stars
    10.55%
  • 3 stars
    0.96%
  • 2 stars
    0.10%
  • 1 star
    0.04%
AS
18 de abr. de 2020

Very good course to give you deep insight about how to enhance your algorithm and neural network and improve its accuracy. Also teaches you Tensorflow. Highly recommend especially after the 1st course

NA
13 de ene. de 2020

After completion of this course I know which values to look at if my ML model is not performing up to the task. It is a detailed but not too complicated course to understand the parameters used by ML.

Impartido por:

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    Andrew Ng

    Instructor
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    Kian Katanforoosh

    Curriculum Developer
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    Teaching Assistant - Younes Bensouda Mourri

    Mathematical & Computational Sciences, Stanford University, deeplearning.ai

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