alleryStart learning →'Α' in θⱼ := θⱼ − α·∂J/∂θⱼ is called the
ANumber of training examples
BCost function
CLearning rate (step size)
DNumber of features
Answer & Solution
Correct answer: C. Learning rate (step size)
α controls how big a step gradient descent takes per update.
Too small → slow; too large → overshoot / divergence.
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