How to Plot Accuracy instead of RMSE in the training progress graph of 'trainNetwork'

5 Ansichten (letzte 30 Tage)
Hi every One
I am using LSTM For prediction and for my Train data I use Train Network.
one of the options of Train network is training progress but after i ruun my code It only plot RMSE of the seqence what should I do to change it to Accuracy ?
Thanks in advance

Antworten (1)

Hornett
Hornett am 25 Sep. 2024
To plot accuracy instead of RMSE in the training progress graph when using trainNetwork with LSTM for a classification task, you need to ensure that your network and training options are set up for classification. This involves using a classification layer and specifying accuracy as a metric in the training options.
Here’s how you can do it:
  1. Ensure the network is set up for classification: Use a softmax layer and a classification layer.
  2. Specify accuracy as a metric: Use the trainingOptions function to specify accuracy as a metric.

Kategorien

Mehr zu Sequence and Numeric Feature Data Workflows finden Sie in Help Center und File Exchange

Community Treasure Hunt

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

Start Hunting!

Translated by