fdrdrive

5 ms·

1. 1.▲
   by fdrdrive 9y ago

   I don't understand how that's related.
2. 2.▲
   by fdrdrive 9y ago

   I see - you're talking about a use case like this: https://github.com/google/seq2seq/blob/4c3582741f846a19195ac... I agree that you have to use a tf.while_loop in those cases. But then tf.scan isn't
3. 3.▲
   by fdrdrive 9y ago

   I don't follow. tf.scan will execute as many time steps as there are elements in the input series, which is the same behavior you'd get with tf.while_loop or tf.dynamic_rnn. It does not execute for a fixed number of time steps, w
4. 4.▲
   by fdrdrive 9y ago

   I think that's covered in the article - there's a passage on using `tf.scan` when the `tf.dynamic_rnn` abstraction won't cut it. `tf.scan` is more flexible than `tf.dynamic_rnn`, but provides a little more scaffolding for RNN