Gradient Descent Intuition

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来自 Stanford University 的课程
机器学习
83930 个评分
Stanford University
83930 个评分
从本节课中
Linear Regression with One Variable
Linear regression predicts a real-valued output based on an input value. We discuss the application of linear regression to housing price prediction, present the notion of a cost function, and introduce the gradient descent method for learning.

与讲师见面

  • Andrew Ng
    Andrew Ng
    Co-founder, Coursera; Adjunct Professor, Stanford University; formerly head of Baidu AI Group/Google Brain

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