Hi guys,
I am absolutely new here and therefore have little or no experience with PyTorch.
I would like someone to be able to tell me the best way to use a data array from Matlab as a data set, preferably with a normalization of the data, e.g. in the range [0, 1].
Here a little more detail about my data:
I have a two-dimensional array, with the rows corresponding to frames from several spectrograms. The size of the array is 60000 x 1025, i.e. 60000 frames with 1025 frequency bins. Since I use an auto encoder, my input data is also my target data.
I already know that I can use mat73.loadmat (path) to read my Matlab data as an array in Python. Now the only question is how can I create a normalized dataset from this?
I hope you guys can help me.
Thanks in advance