How to calculate the number of parameters of an LSTM network?

Question

Is there a way to calculate the total number of parameters in a LSTM network.

I have found a example but I\'m unsure of how correct this is or If I have understood i

Answer 1

No - the number of parameters of a LSTM layer in Keras equals to:

params = 4 * ((size_of_input + 1) * size_of_output + size_of_output^2)

Additional 1 comes from bias terms. So n is size of input (increased by the bias term) and m is size of output of a LSTM layer.

So finally :

4 * (4097 * 256 + 256^2) = 4457472