Assertion: gradient descent | /r/CapableOf | take small step
Facets:
value: really
type: DEGREE
Source sentences:
text: If α is too small then the gradient descent will take a really small step, calculate lots of hypotheses functions, and therefore slow down the algorithm.
text: Thus we can say that gradient descent takes a bigger step when away from the solution and takes small steps when nearer to an optimal solution.
text: then the gradient descent will take a really small step, calculate lots of hypotheses functions, and therefore slow down the algorithm.