Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
Use the backpropagation algorithm to learn parameters. Apply observations 1 by 1, which is a stochastic gradient descent algorithm. The complexity of Neuron Network is related to the …
Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
Regression refers to problems where the response (output) variable is continous while classfication refers to problems where the response (output) variable is discrete.
Generally speaking fitting gression to classification problems is …