Doubt in Gradient Descent Algo

#1

Sir

  1. Sir why we try to minimise F(x)
  2. And in video sir says that our error is F(x).
    I not understand these two things

Thanks .

#2

Hey @Royal_Yashasvi, gradient descent algorithm is used to minimize the loss function here !
Let me explain you in detail :

F(x) here is the loss function. Loss function measures the error that our model is doing in making predictions. So for better performance, we want our error to be as minimum as possible. Hence we use gradient descent to minimize the loss function f(x). If you are having problem in understanding what I am talking about, I request you to first see the videos explaining the concepts of linear regression, and then study about gradient descent algorithm !

I hope this helps you !
Happy Learning :slight_smile:

#3

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