Implementation Note: Unrolling Parameters

Loading...
斯坦福大学
4.9(119,352 個評分) | 2.6M 名學生已註冊
查看授課大綱

您將學習的技能

Logistic Regression, Artificial Neural Network, Machine Learning (ML) Algorithms, Machine Learning

審閱

4.9(119,352 個評分)
  • 5 stars
    110,527 ratings
  • 4 stars
    8,135 ratings
  • 3 stars
    512 ratings
  • 2 stars
    87 ratings
  • 1 star
    91 ratings
DW

Feb 20, 2016

Fantastic intro to the fundamentals of machine learning. If you want to take your understanding of machine learning concepts beyond "model.fit(X, Y), model.predict(X)" then this is the course for you.

OK

Apr 18, 2018

You need to know, what do you want to get out of this course. It gives you a lot of information, but be prepared to work hard with linear algeabra and make efforts to compute things in Mathlab/Octave.

從本節課中
Neural Networks: Learning
In this module, we introduce the backpropagation algorithm that is used to help learn parameters for a neural network. At the end of this module, you will be implementing your own neural network for digit recognition.

教學方

  • Andrew Ng

    Andrew Ng

    CEO/Founder Landing AI; Co-founder, Coursera; Adjunct Professor, Stanford University; formerly Chief Scientist,Baidu and founding lead of Google Brain

探索我們的目錄

免費加入並獲得個性化推薦、更新和優惠。