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Hi:
I only see CudnnRNN ,the project has not testcase for it,I not know if we support tf.nn.bidirectional_dynamic_rnn or normal simple rnn?
thank you
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hi Abraham and first of all, thank you for your amazing job... i have a couple of question:
- what's the purpose of the back up?
why in some particular cases you perform a backup? is it necessary …
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Hello
I request another type of multi-layer bidirectional RNN.
Currently forward output and backward output is concatenated after each layer.
But, for language modeling, we need independent forwar…
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Example failure: https://travis-ci.org/apache/incubator-mxnet/builds/450064964?utm_source=github_status&utm_medium=notification
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hi, I met up with an error : ValueError: Trying to share variable stack_bidirectional_rnn/cell_0/bidirectional_rnn/fw/lstm_cell/kernel, but specified shape (120, 160) and found shape (53, 160) when I …
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Model.py, Line 41:
self.decoder_rnn = rnn(embedding_size, hidden_size, num_layers=num_layers, bidirectional=self.bidirectional, batch_first=True)
If bidirectional == True:
When the decode…
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File "/usr/lib/python2.7/site-packages/tflearn/__init__.py", line 21, in
from .layers import normalization
File "/usr/lib/python2.7/site-packages/tflearn/layers/__init__.py", line 10, in
…
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-The Error I get in python mode
(deepspeech.venv) marc@debian:~/Daten.2017/code/speechRecognition/versuch3$ python3 client.py DeepSpeech/model/output_graph.pb DeepSpeech/model/alphabet.txt DeepSpee…
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Dear authors,
Thank you for sharing this awesome work. I really like ideas of using all history of words to produce the attention as well as the newly proposed symmetric form for attentions.
Recen…
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```
network = tflearn.layers.conv.max_pool_2d (network, [1,2] , strides=[1,2] )
print(network.shape)
network = dropout(network, 0.25)
print(network.shape )
# network = tf.transpose(network…