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.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. 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. trainnet, deep learning MATLAB Answers — New Questions

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