I was reading this post, mainly the LSTM equation section for understand the structure diagram and relate it with the matrices and I can deducted this cell diagram:
I made this homemade diagram because in the Colah's article it's not the exactly same cell that in keras.
I need know if it ok, can someone confirm me that? This are the equations
W are weights matrices for input data and U are weights matrices for previous hidden state
b are biases
In the pink circles there are operations. The point it's multiply element by element and X is matrix multiplication
It's ok. The picture and all the formulas in the question describe a standard LSTM network. The part that confuses you may be the content of Keras code: such as dropout and recurrent dropout.
As long as you don't set these parameters when calling LSTM cells, you won't be confused about these advanced structures.