Cross Validated Asked by mamafoku on September 3, 2020
Aside from Convolution Neural Networks, are there any other methods that allow for classification of Tensors? My observations consist of multi-dimensional tensors with height of 1, where each channel corresponds to a particular time-series and am wondering how I can effectively classify the tensors, taking into account the relationship between the time-series.
Recurrent neural networks might be an option. These have the capability of keeping information in a time series and are used for signals in time domain, for applications such as speech recognition etc... LSTM is a variant of these which is also widely used.
Answered by user166243 on September 3, 2020
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