Pattern recognition in time series using LSTM(python)

Question

My application scenario is similar to the previous one Pattern recognition in time series

By processing a time series dataset, I Would like to detect patterns that look similar to this: Using a sample time series as an example, I would like to be able to detect the patterns as marked here:

But I want to do it with python and LSTM .

I have read some resouces about the RNN time series and word classification.I know how RNN predicts results in time series, but I'm puzzled how to find a pattern in time series.

I am searching for a long time on net. But no use. Please help or try to give some ideas how to achieve this.

Since I am not a native English speaker, if there is anything I didn't describe clearly, please ask.Thank you!

Answer 1

You may refer to this nice tutorial : https://github.com/guillaume-chevalier/seq2seq-signal-prediction

It can find pattern of sinewave and generate future values.