silly error in trainnet network design
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received following errors - for seemingly straight forward command:
> net = trainnet(data1, class1, net_1, "crossentropy", options);
Error Number of observations in predictors (1) and targets (1071) must match.
Check that the data and network are consistent.
This is odd because both the training and validation data/class are matching size 1071 X 140 and 1071 X 1. Could you please advise. Similarly validation in options have compatiable digmensions. weird.
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The error message indicates that there is just one (1) observation, but 1071 targets. Check the data type and size of the inputs. See the doc https://www.mathworks.com/help/deeplearning/ref/trainnet.html for details about the several types of data that can be input, and for options like "InputDataFormats" which can affect the interpretation of the inputs.
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