I already saw your code and your answer about other person's issue.
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you can use the following code to include bi-directional ConvLSTM:
LSTM_f = layers.ConvLSTM2D(filters = 128, kernel_size=(3, 3), padding='same', return_sequences = False, go_backwards = False, kernel_initializer = 'he_normal')(X)
LSTM_b = layers.ConvLSTM2D(filters = 128, kernel_size=(3, 3), padding='same', return_sequences = False, go_backwards = True, kernel_initializer = 'he_normal')(X)
Bi_rep = layers.Add()([LSTM_f, LSTM_b])
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There is no Bi-direction convLSTM2d. so If i want to use bi-directional convlstm2d, Do I just typo that your code LSTM_f and LSTM_b ??
I already saw your code and your answer about other person's issue. " you can use the following code to include bi-directional ConvLSTM: LSTM_f = layers.ConvLSTM2D(filters = 128, kernel_size=(3, 3), padding='same', return_sequences = False, go_backwards = False, kernel_initializer = 'he_normal')(X) LSTM_b = layers.ConvLSTM2D(filters = 128, kernel_size=(3, 3), padding='same', return_sequences = False, go_backwards = True, kernel_initializer = 'he_normal')(X) Bi_rep = layers.Add()([LSTM_f, LSTM_b]) "
There is no Bi-direction convLSTM2d. so If i want to use bi-directional convlstm2d, Do I just typo that your code LSTM_f and LSTM_b ??