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Add python doc for dynamic_lstm #7640

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merged 5 commits into from
Jan 19, 2018
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@kuke kuke commented Jan 18, 2018

Resolve #7641

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kuke commented Jan 18, 2018

2018-01-18 9 05 04


hidden_dim = 512
forward_proj = fluid.layers.fc(input=input_seq, size=hidden_dim * 4,
act='tanh', bias_attr=True)
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It seems that fc only conduct linear projection, please double check whether it's correct to use act=tanh

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@pkuyym I noticed that param act is not used in fc: https://github.com/PaddlePaddle/Paddle/blob/develop/python/paddle/v2/fluid/layers/nn.py#L63
So why didn't add activation in fc?

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These are linear projections.

Note that these :math:W_{xi}x_{t}, W_{xf}x_{t}, W_{xc}x_{t}, W_{xo}x_{t}
operations on the input :math:x_{t} are NOT included in this operator.
Users can choose to use fully-connect layer before LSTM layer.

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Modified the example, set act and bias_attr to None

@kuke kuke merged commit 41b8388 into PaddlePaddle:develop Jan 19, 2018
@pkuyym pkuyym mentioned this pull request Jan 23, 2018
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3 participants