To implement both of these techniques, adjust your input values as shown in this formula: Mean normalization involves subtracting the average value for an input variable from the values for that input variable resulting in a new average value for the input variable of just zero. the maximum value minus the minimum value) of the input variable, resulting in a new range of just 1. Model and Cost Function Cost Functionįeature scaling involves dividing the input values by the range (i.e. ![]() This method looks at every example in the entire training set on every step, and is called batch gradient descent. ![]() Programming assignment 1 Week 1 Introduction & Linear Regression with One Variable
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