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video-caption.pytorch/models/EncoderRNN.py
Line 25 in 9e4759d
As the title, why do we need another linear transform layer for video features when the rnn will do it inside the cell?
If it is to save the number of parameters, will it be better if we specify the rnn input dimension using another variable? For instance:
self.vid2hid = nn.Linear(dim_vid, dim_rnn_input) ... self.rnn = self.rnn_cell(dim_rnn_input, dim_hidden, n_layers, batch_first=True, bidirectional=bidirectional, dropout=self.rnn_dropout_p)
The text was updated successfully, but these errors were encountered:
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video-caption.pytorch/models/EncoderRNN.py
Line 25 in 9e4759d
As the title, why do we need another linear transform layer for video features when the rnn will do it inside the cell?
If it is to save the number of parameters, will it be better if we specify the rnn input dimension using another variable?
For instance:
The text was updated successfully, but these errors were encountered: