silly error in trainnet network design

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Raf
Raf 2024-9-11
编辑： Drew 2024-9-11
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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Drew
Drew 2024-9-11
编辑：Drew 2024-9-11
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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  2 个评论
Raf
Raf 2024-9-11
spot on, been a while, data was entered as matrices, converted to cells working like a champ. Thanks. RA
Drew
Drew 2024-9-11
I'm glad to hear that it is working now. I see there is an upvote on the answer, but it looks like you have not accepted the answer. Do you see the button to accept the answer?

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