How to handle extremely long LSTM sequence length?

Question

I have some data that is sampled at at a very high rate (on the order of hundreds of times per second). This results in a sequence length that is huge (~90,000 samples) on avera

Answer 1

This post is from some time ago, but I thought I would chime in here. For this specific problem that you are working on (one-dimensional continuous-valued signal with locality, composition-ality, and stationarity), I would highly recommend a CNN convolutional neural network approach, as opposed to using an LSTM.