So I understand what LSTM units are. But I have trouble understanding the implementation / function in Keras framework.
Let's say, I add a layer
does this mean, I have
- five different LSTM units, that are independent, or
- one LSTM unit, that is unfolded into five time steps?
I assume that the second answer is right, because else a lot of models I saw would not make much sense.
When I have as first hidden layer a LSTM layer with size 5, does this mean my input should be a time series with 5 time steps?
Please correct me if I'm wrong. I am confused because I thought one LSTM would use its own state in the next iteration.
What is the correct meaning of LSTM in Keras?