Derivatives with a Computation Graph

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Получаемые навыки

Deep Learning, Artificial Neural Network, Backpropagation, Python Programming, Neural Network Architecture

Рецензии

4.9 (оценок: 116,937)

  • 5 stars
    89,71 %
  • 4 stars
    9,22 %
  • 3 stars
    0,80 %
  • 2 stars
    0,12 %
  • 1 star
    0,12 %

AJ

5 дек. 2020 г.

This course helped me understand the basics of neural network. After this course I learned to built base neural network model. Looking forward to do the next course of the deeplearning specialization.

JP

11 февр. 2018 г.

I would love some pointers to additional references for each video. Also, the instructor keeps saying that the math behind backprop is hard. What about an optional video with that? Otherwise, awesome!

Преподаватели

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    Andrew Ng

    Instructor

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    Kian Katanforoosh

    Senior Curriculum Developer

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    Younes Bensouda Mourri

    Curriculum developer

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