Gradient Descent Intuition

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Del curso dictado por Stanford University
Machine Learning
75750 calificaciones
Stanford University
75750 calificaciones
De la lección
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.

Conoce a los instructores

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

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