Comments (5)
using tf vers 1.2 . I am also getting this error. Anyone found out how to correctly use MultiRNNCell with this example?
from ctc_tensorflow_example.
I found this solution here https://danijar.com/introduction-to-recurrent-networks-in-tensorflow/:
cells = []
for _ in range(num_layers):
cell = tf.contrib.rnn.GRUCell(num_units) # Or LSTMCell(num_units)
cells.append(cell)
cell = tf.contrib.rnn.MultiRNNCell(cells)
from ctc_tensorflow_example.
Thank you for your answer @Robomate. Did the error stop for you too, @oppasource ?
from ctc_tensorflow_example.
Hi all,
I'm so glad I found this post as it is the first practical solution to this problem. However, this particular example fails to train the net properly as the decoded sentence is blank. Did anyone else try this? I'm training my own network on a large data set at the moment, will post the results here later.
from ctc_tensorflow_example.
Hi @nebgru , did you solve your problem?
from ctc_tensorflow_example.
Related Issues (20)
- This project is not suitable for Tensorflow newst versions, like 0.12.1 and 1.0.0 HOT 1
- Save and restore problem HOT 4
- Normalization for multiple WAV inputs HOT 5
- Multiple Data HOT 2
- Saw a non-null label issue HOT 1
- urle error HOT 3
- [No issue] Thanks for this great work, it really helped in my work HOT 1
- when I run ctc_greedy_decoder function,how can I get the align information from all frames probability . HOT 1
- OCR: clarification about input and output HOT 3
- multi layer LSTM gives error HOT 1
- num_features HOT 1
- Input to sparse_tuple_from?
- BLSTM
- other way for increasing Batch size
- all possible alignments
- how to modify the connectionist Temporal Classification (CTC) layer of the network to also give us a confidence score?
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from ctc_tensorflow_example.