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Implement a bi-directional LSTM or GRU-based transcription model with a CTC loss function.
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Thanks for your work.
I was wondering if you could provide the model files from the paper. :)
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In the bi-lstm example, use outputs[-1] as the output of bi-lstm. I think it's wrong to do so. Because the outputs of rnn.static_bidirectional_rnn is depth-concatenated, which means outputs of bw_lstm…
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Is it possible to implement a bidirectional LSTM just by changing parameter 'bidirectional = True' in the code?
Please let me know if this works.
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If you open a GitHub issue, here is our policy:
1. It must be a bug, a feature request, or a significant problem with documentation (for small docs fixes please send a PR instead).
2. The form bel…
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Speech Emotion Recognition (SER) system was defined as a combination of different frameworks and works based on analyzing audio signals to identify emotions. We can use one or combine other parts to r…
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안녕하세요.
구글 콜라보레이터에서 양방향 LSTM을 작업시도하면 RAM이 최대치에 도달해서
강제로 런타임이 중지되지 않던가요??
이 문제 때문에 Python Jupyter Notebook에서 작업을 했더니
], F matrix
def attention_net(self, lstm_output, final_state):
batch_size = len(lstm_output)
hidden_forward=…
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### Issue Title: Implement Infosys Stock Prediction using Bi-LSTM with Conv-1D
#### Description:
Develop a project to predict Infosys stock prices using a Bi-LSTM model combined with Conv-1D. The …