Vectorizing Logistic Regression's Gradient Output

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배우게 될 기술

Artificial Neural Network, Backpropagation, Python Programming, Deep Learning

검토

4.9(99,231개의 평가)
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BC
2018년 12월 3일

Extremely helpful review of the basics, rooted in mathematics, but not overly cumbersome. Very clear, and example coding exercises greatly improved my understanding of the importance of vectorization.

AG
2020년 5월 31일

It's really quite an amazing course where we get to learn the mathematics behind the Neural Networks. It is great to learn such core basics which will help us further in developing our own algorithms.

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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