Gradient descent for Neural Networks

Loading...
강의 계획서 보기

배우게 될 기술

Artificial Neural Network, Backpropagation, Python Programming, Deep Learning

검토

4.9(99,309개의 평가)
  • 5 stars
    89.56%
  • 4 stars
    9.41%
  • 3 stars
    0.78%
  • 2 stars
    0.11%
  • 1 star
    0.11%
GC
2019년 5월 30일

I have learnt a lot of tricks with numpy and I believe I have a better understanding of what a NN does. Now it does not look like a black box anymore. I look forward to see what's in the next courses!

JP
2018년 2월 11일

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!

강사:

  • Placeholder

    Andrew Ng

    Instructor
  • Placeholder

    Kian Katanforoosh

    Curriculum Developer
  • Placeholder

    Teaching Assistant - Younes Bensouda Mourri

    Mathematical & Computational Sciences, Stanford University, deeplearning.ai

Coursera 카탈로그 살펴보기

무료로 참여해 맞춤화된 추천, 업데이트 및 제안을 받아보세요.