I try to understand my time series data for my ANN for a regression problem. I have temperature values measured with a sampling rate of 10.000 values / 1 second. So I measure in 1 second 10.000 different temperature values. This I repeat with certain time intervals. Do I have than 10.000 different features or only one feature as input dimension for my lstm neural network ? I want to shape my data for a lstm encoder decoder.