stateful and stateless LSTM
Answer from stack overflow:
Theoretically a stateless LSTM gives the same result as a statefull LSTM, but there are few pros and cons between them.
A stateless LSTM requires you to structure your data in a particular way, in turn it is vastly more peformant, while a statefull LSTM you can have varying timesteps, but at a performance penalty.
The stateless LSTM does have state, it’s just implemented differently. Instead of managing it yourself by constantly calling reset_states() your data is structure in such a way that it is automatically reset when the end of one series of timesteps is done.
