Hello @inkplay Thank you for relying ,
To describe my dataset to you understand more , I have [ examples , dates , features ] (e.g. [1920,23,20])where the examples are agricultural lands and 20 features which are the mean and variance for different bandwidths ( 10 to be exact , 2 * 10 ) and these measurements are taken on different dates through out the year and my target (label , classes ) are [examples , dates , class ] e.g.([1920,23,1]) ,12 classes in total. After cleaning splitting and scaling my data (normalization) I want to train it on an RNN for classification ( simple tanh cells , just like you experimenting I’ll try after that GRU and LSTM ) but as far as I can see from different codes online everyone seem to use the data loader so can it be replace or how can specify to it that my class is this row in the tensor ?
and thank you.