Gradient Descent in Practice II - Learning Rate

Loading...
斯坦福大学
4.9(111,913 個評分) | 2.5M 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(111,913 個評分)
  • 5 stars
    103,670 ratings
  • 4 stars
    7,597 ratings
  • 3 stars
    476 ratings
  • 2 stars
    84 ratings
  • 1 star
    86 ratings
HS

Mar 03, 2018

My first and the most beautiful course on Machine learning. To all those thinking of getting in ML, Start you learning with the must-have course. Thanks Andrew Ng and Coursera for this amazing course.

RS

Aug 13, 2019

Andrew Ng is a great teacher.\n\nHe inspired me to begin this new chapter in my life. I couldn't have done it without you\n\nand also He made me a better and more thoughtful person.\n\nThank You! Sir.

從本節課中
Linear Regression with Multiple Variables
What if your input has more than one value? In this module, we show how linear regression can be extended to accommodate multiple input features. We also discuss best practices for implementing linear regression.

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。