Recurrent Neural Networks (RNN, GRU, LSTM) and their Bidirectional versions (BiRNN, BiGRU, BiLSTM) for word & character level language modelling in Theano
Dear Yaseen,
thanks for your clean code.
As you know, there have the conceptions 'LSTM block' and 'LSTM cell'. But in a lot of LSTM example codes, including yours, there seems to be no attention was paid to this difference. In the codes, only cells are created, while no blocks.
After reading and thinking about this problem, I got the conclusion that: the LSTM with m blocks with n cells and the LSTM with one block with m*n cells are actually the same.
Then, how do you think about this problem and could you give me any hints about this issue?