rnn-nlu
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A TensorFlow implementation of Recurrent Neural Networks for Sequence Classification and Sequence Labeling
I'm trying to convert and load the model into tensorflow.js ``` #TODO --output_node_names='model_tmp/checkpoint' \ tensorflowjs_converter \ --input_format=tf_saved_model \ --saved_model_tags=serve \ model_tmp/model.ckpt-500 \ model_web ``` https://github.com/OpenASR/rnn-nlu/blob/master/scripts/convert When I run the script...
What license is this made available under? A popular choice is [MIT](https://choosealicense.com/licenses/mit/)
 Excuse me! I have read the paper, and find the current predicted tag was pointed to the next step as described in Figure3. But in this code, I cant...
Hi, thanks for the great code. I tried running your code on the ATIS data in https://github.com/yvchen/JointSLU/tree/master/data, and got accuracy 96.75 and F1 94.42 after training for 8400 steps. (I...
Hi guys, been running a slightly modified version of the code on my (admittedly slow) Macbook Air 2013. Now I am wondering: is it normal for the declaration of the...
Sorry for opening this on issue page. However, this is not an issue. I was expecting the prediction after finishing the training iterations. Since I have a model, I was...
Hi, I think dynamic rnn is more convenient to use, why use static? @HadoopIt