how to compute and plot mean square error for two vectors?

3 次查看（过去 30 天）
DEEPAK Chekuri
DEEPAK Chekuri 2021-1-9
评论： DEEPAK Chekuri 2021-1-13
i have a dataset to classify, using perceptron learning rule . i've calculated the weight matrix but don't know how to plot MSE .
{𝑝1 = [ 1 1 ],𝑡1 = [ 0 0 ]}, {𝑝2 = [ 1 2 ],𝑡2 = [ 0 0 ]}, {𝑝3 = [ 2 −1 ],𝑡3 = [ 0 1 ]}, {𝑝4 = [ 2 0 ],𝑡4 = [ 0 1 ]}, {𝑝5 = [ −1 2 ],𝑡5 = [ 1 0 ]}, {𝑝6 = [ −2 1 ],𝑡6 = [ 1 0 ]}, {𝑝7 = [ −1 −1 ],𝑡7 = [ 1 1 ]}, {𝑝8 = [ −2 −2 ],𝑡8 = [ 1 1 ]}.
This the dataset and w=[-2 0;0 -2],bias =[-1 0]

请先登录，再回答此问题。

采纳的回答

Gaurav Garg
Gaurav Garg 2021-1-13
Hi Deepak,
You can plot MSE/Loss and accuracy for each iteration of your training/testing.
To do this, you can make a network with 'n' number of layers, train your network on it and store the loss returned per iteration in a list. Finally, you can plot this loss on y-axis and number of iterations on x-axis.
For any more information on monitoring metrics, you can look at the documentation here.
  1 个评论
DEEPAK Chekuri
DEEPAK Chekuri 2021-1-13
Thankyou Gaurav,
Storing mse in a new list for every iteration worked out for me and i'm instruucted to use single layer.
I've stored MSE of each iteration in new list and plotted the same.

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 Define Shallow Neural Network Architectures 的更多信息

标签

Community Treasure Hunt

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

Start Hunting!

Translated by