Comments (2)
This is a good point. Actually, both variants are wrong, because y_hat
are logits rather than probabilities. It must be
accuracy = tf.reduce_mean(tf.cast(tf.equal(tf.round(tf.sigmoid(y_hat)), target_ph), tf.float32))
I will fix it shortly, thank you!
from tf-rnn-attention.
Fixed
from tf-rnn-attention.
Related Issues (15)
- how this attention is different from attention described by Bahdanau? HOT 8
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- what is the meaning of attention_size? HOT 4
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- which paper to cite? HOT 1
- What the different between this project and the one below? HOT 1
- Is there any code for visualizing attention picture HOT 2
- About padding sentences HOT 1
- Finding actual length of sequence HOT 5
- Masking out padded positions for attention HOT 2
- Can't see any graph/scalar in tensorboard HOT 7
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from tf-rnn-attention.