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The Seq2Seq network output isn't processed with the following op: reshaped_output = [(tf.matmul(i, weights['out']) + biases['out']) for i in dec_output]
#45
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sarahboufelja opened this issue
Feb 26, 2018
· 0 comments
Dear all,
I am stuck on a problem in my Seq2seq implementation where the network isn't Learning at all.
The following op isn't processed:
reshaped_output = [(tf.matmul(i, weights['out']) + biases['out']) for i in dec_output]
and don't how to use tf.contrib.layers.fully_connected to overcome the issue.
Thank you for your help
Regards
The text was updated successfully, but these errors were encountered:
Dear all,
I am stuck on a problem in my Seq2seq implementation where the network isn't Learning at all.
The following op isn't processed:
reshaped_output = [(tf.matmul(i, weights['out']) + biases['out']) for i in dec_output]
and don't how to use tf.contrib.layers.fully_connected to overcome the issue.
Thank you for your help
Regards
The text was updated successfully, but these errors were encountered: