1 1 vote Back propagation is a learning technique that adjusts weights in the neutral network by propagating weight changes. Forward from source to sink Backward from sink to source Forward from source to hidden nodes Backward from sink to hidden nodes Artificial Intelligence ugcnetcse-dec2012-paper2 machine-learning data-mining backpropagation + – go_editor 14.7k views answer comment Share Follow Print 0 reply Please log in or register to add a comment.
0 0 votes Ans B sh!va answered Jul 11, 2016 sh!va comment Share Follow See all 2 Comments 2 2 Comments reply SONALI MEHNDIRATTA commented Jun 9, 2018 reply Follow flag Why it can't be option D as back propogation is multilayer feedbackward so it has hidden layers too. . 0 0 replyShare aryan1113 commented Jan 31, 2024 reply Follow flag We ultimately have to back-propogate the error to the input layer..... 0 0 replyShare Please log in or register to add a comment.
0 0 votes Back propagation is a learning technique that adjusts weights in the neural network by propagating weight changes backward from sink to source. So, the correct option is: Backward from sink to source rajveer43 answered Jan 3, 2024 rajveer43 comment Share Follow 0 reply Please log in or register to add a comment.
