How can I get Same Results form multiple networks with same network architecture, network options and training and validation data ?
3 ビュー (過去 30 日間)
古いコメントを表示
Hi everyone
I want to train the best neural network for my data. for this porpose I compared many parameter that affect the network, for example : number of layers. but for constant layer, every time I run the code, resluts (RMSE and ...) are not same. I guess this problem related to randomness of training, such as Shuffle in training option or initializing of weights ans biases. I set Training ans Validation data manually with out any changing and added this commands to my code :
option = trainingOptions('Shuffle','never');
but it didn't give same RMSE. what should I do ?
best regards
回答 (0 件)
参考
カテゴリ
Help Center および File Exchange で Image Data Workflows についてさらに検索
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!