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Your bidirectional LSTM's implementation has a mistake. go_backwards=True in LSTM (rnn_1b, rnn_2b) is only reverse the input before using LSTM, so you have to reverse the output of LSTM before adding or concating with forward-LSTM (rnn_1 , rnn_2).
Your bidirectional LSTM's implementation has a mistake. go_backwards=True in LSTM (rnn_1b, rnn_2b) is only reverse the input before using LSTM, so you have to reverse the output of LSTM before adding or concating with forward-LSTM (rnn_1 , rnn_2).
Your bidirectional LSTM's implementation has a mistake.
go_backwards=True
in LSTM (rnn_1b, rnn_2b) is only reverse the input before using LSTM, so you have to reverse the output of LSTM before adding or concating with forward-LSTM (rnn_1 , rnn_2).More info about the issue in here: qjadud1994/CRNN-Keras#26
You can fix it or optimize your code using
Bidirectional
like this one:https://github.com/tuanphan09/captcha-recognition/blob/master/model.py
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