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when i change BGRU to GRU an new errror appear：
[==================== 948/948 ================>] Tot: 13s848ms | Step: 14ms
Training Epoch: 1
lua: /home/q/xingxing.tang/torch/install/share/lua/5.…
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import random
import pandas as pd
import numpy as np
from sklearn.linear_model import LogisticRegression
from sklearn.metrics import accuracy_score
from sklearn.utils import check_array
from sklearn.…
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- [x] modify clip, add dot
- [ ] ndarray trans
- [x] more math functions for ndarray
- [ ] interface for making optimization algo as a single ndarray op
- [x] complex example: adversary
- [x] lstm by …
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@EderSantana
Thank you for the seya code. I want to use the bidirectional RNN, but I got an error when I ran the imdb_brnn.py in the examples. It seems like a simple error but I still don't know ho…
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In [Deep Speech 2](http://arxiv.org/abs/1512.02595), they share the input-hidden weights for both directions of a bidirectional RNN. It's mentioned in the middle of page 5.
What is the proper way to…
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What would it take to add a GRU variation to compare with LSTMs?
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Hey @EderSantana,
Thanks again for making the bidirectional rnn. You give a great example of how to use it here: https://github.com/EderSantana/seya/blob/master/examples/imdb_brnn.py
However, if we …
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layers.py, on which most of the nntools code is based, has always been geared towards feed-forward neural networks. We should look into recurrent neural networks as well. Personally I don't have a lot…
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https://github.com/tensorflow/tensorflow/blob/master/tensorflow/g3doc/api_docs/python/nn.md
(It has convolutional layers listed, for instance, but does not show the RNNs. Actually, I don't quite see …