The results above illustrate how LSTM works with continuous input/output on simple 1D time series prediction tasks. We aim to estimate simple shapes by using past data. We follow an increasingly more complex scenarios. Results show the limitations of continuous time-series prediction via LSTM; the last slides show that even simple shapes cannot be accurately predicted. But the code is helpful to illustrate the basics of time-series prediction. Below we provide all the commands and the python script needed to generate…