Numerical approximation of gradients

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Destrezas que aprenderás

Hyperparameter, Tensorflow, Hyperparameter Optimization, Deep Learning

Reseñas

4.9 (55,937 calificaciones)
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    88.30%
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    10.56%
  • 3 stars
    0.97%
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    0.10%
  • 1 star
    0.05%
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.

CV
23 de dic. de 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.

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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