deeplearning4j/deeplearning4j-examples
Increasing errors with MultiLayerNetworkExternalErrors.java Example
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#914 opened on 2019/10/18
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説明
Hi,
I am trying to using train a simple 2 layer network on a simple synthetic dataset. With two features X1 and X2. and lables: y = X1^2 + X2^2
I am calculating the error for each epoch manually and using the errors to call backprop, similar to the MultiLayerNetworkExternalErrors.java example
The prediction error is increasing with each epoch, I would have expected decreasing errors with on this simple dataset. Could someone help me with if the issue is with how I am using dl4j methods ?
Code: https://gist.github.com/Saurabh7/9b5ea7def2a167903e7d206e272e2662 Data: https://gist.github.com/Saurabh7/982fb4ddfbd58bd866782ea31b95aef1