https://communities.sas.com/t5/SAS-Academy-for-Data-Science/Use-of-Validation-data-with-Sequential-Network-Construction/m-p/695944#M975 <P>that's a good approach to implement.&nbsp;</P> <P>For small neural network on data with well-defined features (often &lt;=2 layers), I wouldn't go through the effort of sequential network construction.&nbsp;</P> <P>SAS Viya's PROC NNET auto-tuning is a better approach. With deep learning (deeplearn casl action set), drop-out is a also another better approach. You can look into both through online documentation.</P> Mon, 02 Nov 2020 13:56:46 GMT zhongxiuliu 2020-11-02T13:56:46Z https://communities.sas.com/t5/SAS-Academy-for-Data-Science/Use-of-Validation-data-with-Sequential-Network-Construction/m-p/654233#M877 <P>Re: Neural Network Modelling</P> <P>Is it possible to use Validation data with Sequential Network Construction (page 4.35 of course text)? i.e. use performance on Validation data to inform when to stop adding nodes?</P> Mon, 08 Jun 2020 07:15:18 GMT https://communities.sas.com/t5/SAS-Academy-for-Data-Science/Use-of-Validation-data-with-Sequential-Network-Construction/m-p/654233#M877 pvareschi 2020-06-08T07:15:18Z https://communities.sas.com/t5/SAS-Academy-for-Data-Science/Use-of-Validation-data-with-Sequential-Network-Construction/m-p/695944#M975 <P>that's a good approach to implement.&nbsp;</P> <P>For small neural network on data with well-defined features (often &lt;=2 layers), I wouldn't go through the effort of sequential network construction.&nbsp;</P> <P>SAS Viya's PROC NNET auto-tuning is a better approach. With deep learning (deeplearn casl action set), drop-out is a also another better approach. You can look into both through online documentation.</P> Mon, 02 Nov 2020 13:56:46 GMT https://communities.sas.com/t5/SAS-Academy-for-Data-Science/Use-of-Validation-data-with-Sequential-Network-Construction/m-p/695944#M975 zhongxiuliu 2020-11-02T13:56:46Z