Hello
I am using the example in 2019b
openExample('nnet/SeqToSeqClassificationUsing1DConvAndModelFunctionExample')
But when i changed the miniBatchSize to 2 I get the following error. I am trying to understand the example so will help to be able to change the miniBatchSize to a different value
Workarounds?
Index exceeds the number of array elements (1).Error in SeqToSeqClassificationUsing1DConvAndModelFunctionExample>maskedCrossEntropyLoss (line 486) idx = 1:numTimeSteps(i);Error in SeqToSeqClassificationUsing1DConvAndModelFunctionExample>modelGradients (line 472)loss = maskedCrossEntropyLoss(dlY, dlT, numTimeSteps);Error in deep.internal.dlfeval (line 18)[varargout{1:nout}] = fun(x{:});Error in dlfeval (line 40)[varargout{1:nout}] = deep.internal.dlfeval(fun,varargin{:});Error in SeqToSeqClassificationUsing1DConvAndModelFunctionExample (line 287) [gradients, loss] = dlfeval(@modelGradients,dlX,Y,parameters,hyperparameters,numTimeSteps);
Best Answer