In a FeedForward NNet, what exactly is one iteration?

1 次查看（过去 30 天）
Sam Speake
Sam Speake 2018-5-23
评论： Greg Heath 2018-5-25
When you train a feedforward neural net with no changes, you see a GUI which includes "Epoch: 0 [ x iterations ] 1000" Does the x value represent the amount of pieces of data that were passed (such as 1 image from a data set of images), or does it represent a full pass of the entire data set?

请先登录，再回答此问题。

采纳的回答

Majid Farzaneh
Majid Farzaneh 2018-5-24
Hello, In every neural network there is an optimization algorithm to set optimum weights and biases; and optimization algorithms are usually iterative. 1 epoch means one iteration in the optimization algorithm.
  3 个评论
显示 1更早的评论
Majid Farzaneh
Majid Farzaneh 2018-5-24
Yes, that's true. In every change for weights, network needs to calculate MSE and for MSE it needs to classify all training data with new weights.
Greg Heath
Greg Heath 2018-5-25
Optimization algorithms TRY to optimize the goal. Many/most times they do not achieve the goal.
Nevertheless, they are often considered successful if they just get close enough.
For example, I often design neural networks to yield an output target t, given an input function x.
I take as a reference output
yref = mean(t')
the corresponding mean square error is
MSEref = mean(var(t',1))
My training goal is typically
MSEgoal = 0.01*MSEref
which preserves 99% of the target variance,

请先登录，再进行评论。

更多回答（0 个）

类别

在 Help Center 和 File Exchange 中查找有关 Deep Learning Toolbox 的更多信息

标签

产品

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by