Backpropagation — ML Glossary documentation

Resource | v1 | created by janarez |
Type Cheat sheet
Created 2017
Identifier unavailable


The goals of backpropagation are straightforward: adjust each weight in the network in proportion to how much it contributes to overall error. If we iteratively reduce each weight’s error, eventually we’ll have a series of weights that produce good predictions.


about Backpropagation

In machine learning, backpropagation (backprop, BP) is a widely used algorithm for training feedforwa...

Edit details Edit relations Attach new author Attach new topic Attach new resource
7.0 /10
useless alright awesome
from 1 review
Write comment Rate resource Tip: Rating is anonymous unless you also write a comment.
Resource level 3.0 /10
beginner intermediate advanced
Resource clarity 7.0 /10
hardly clear sometimes unclear perfectly clear
Reviewer's background 8.0 /10
none basics intermediate advanced expert
Comments 1
0 0

7 rating 3 level 7 clarity 8 user's background

Not bad, not great.