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Recurrent Neural Networks (RNN, GRU, LSTM) and their Bidirectional versions (BiRNN, BiGRU, BiLSTM) for word & character level language modelling in Theano

License: MIT License

Python 100.00%
bidirectional-gru bidirectional-lstm bidirectional-rnn gru language-modeling lstm natural-language-processing rnn theano

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theano-recurrence's Issues

Minibatch code?

Hi, uyaseen ! Thanks for your codes. I want to know will you update a copy with minibatch?

number of LSTM blocks and cells

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?

Thanks,
Xin Yang

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