Vectorizing Logistic Regression's Gradient Output

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강의 계획서 보기

배우게 될 기술

Artificial Neural Network, Backpropagation, Python Programming, Deep Learning

검토

4.9(101,217개의 평가)
  • 5 stars
    89.58%
  • 4 stars
    9.39%
  • 3 stars
    0.78%
  • 2 stars
    0.11%
  • 1 star
    0.11%
ST
2018년 7월 6일

I think the course explains the underlying concepts well and even if you are already familiar with deep neural networks it's a great complementary course for any pieces you may have missed previously.

AJ
2020년 12월 5일

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.

강사:

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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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