Numerical approximation of gradients

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Habilidades que você aprenderá

Hyperparameter, Tensorflow, Hyperparameter Optimization, Deep Learning

Avaliações

4.9 (54,478 classificações)
  • 5 stars
    88.33%
  • 4 stars
    10.53%
  • 3 stars
    0.97%
  • 2 stars
    0.10%
  • 1 star
    0.04%
NA

Jan 14, 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.

CV

Dec 24, 2017

Exceptional Course, the Hyper parameters explanations are excellent every tip and advice provided help me so much to build better models, I also really liked the introduction of Tensor Flow\n\nThanks.

Ministrado por

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    Andrew Ng

    CEO/Founder Landing AI; Co-founder, Coursera; Adjunct Professor, Stanford University; formerly Chief Scientist,Baidu and founding lead of Google Brain
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    Head Teaching Assistant - Kian Katanforoosh

    Lecturer of Computer Science at Stanford University, deeplearning.ai, Ecole CentraleSupelec
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    Teaching Assistant - Younes Bensouda Mourri

    Mathematical & Computational Sciences, Stanford University, deeplearning.ai

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