Adam Optimizer with feedforward nueral networks

8 次查看(过去 30 天)
Hello, is there any way to use Adam optimizer to train a neural network with the "train" fucntion? Or a way to use this implementation ( https://www.mathworks.com/matlabcentral/fileexchange/61616-adam-stochastic-gradient-descent-optimization ) to train the network?
Thanks in advance.

回答(1 个)

Hrishikesh Borate
Hrishikesh Borate 2020-6-19
Hi,
It’s my understanding that you want to use Adam optimizer to train a neural network. This can be done using trainNetwork function, and setting the appropriate Training Options.
For eg.,
[XTrain,~,YTrain] = digitTrain4DArrayData;
layers = [ ...
imageInputLayer([28 28 1])
convolution2dLayer(12,25)
reluLayer
fullyConnectedLayer(1)
regressionLayer];
options = trainingOptions('adam', ...
'InitialLearnRate',0.001, ...
'GradientThreshold',1, ...
'Verbose',false, ...
'Plots','training-progress');
net = trainNetwork(XTrain,YTrain,layers,options);
[XTest,~,YTest] = digitTest4DArrayData;
YPred = predict(net,XTest);
rmse = sqrt(mean((YTest - YPred).^2))
For more information, refer to trainNetwork.
  1 个评论
Abdelwahab Afifi
Abdelwahab Afifi 2020-6-19
'trainNetwork' is used for Deep learning neural network. But I think he wanna use 'Adam optimizer' to train shallow neural network using 'train' function.

请先登录,再进行评论。

类别

Help CenterFile Exchange 中查找有关 Image Data Workflows 的更多信息

Community Treasure Hunt

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

Start Hunting!

Translated by