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Tensor Classification Models

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.

One Answer

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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