multihead_attention #17
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crystina-z
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Oct 10, 2018
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| # Linear projections | ||
| outputs = tf.layers.dense(outputs, num_units, activation=tf.nn.relu) # (N, T_q, C) |
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I think you are right about an extra projection, but can I ask about the activation function here? seems in the original paper there is no bias and activation, only a plain "Concat(head1, ..., headh)W_O"
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In multihead-attention model, there should be one more linear projection layer at the end of the output (before residual connection).