Questions tagged [gru]
The gru tag has no usage guidance.
21
questions
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3answers
56 views
Converting a speech recognition model from CNNs to GRUs
I am trying to convert the simple audio recognition example from TensorFlow to use GRUs instead of CNNs.
The idea is to classify an audio clip onto a set of 8 labels: ...
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0answers
15 views
What does the inital_state parameter in the GRU call arguments do?
Does the inital_state parameter in the GRU call arguments, specify the inital state of the hidden state, that is, $h_t$ or the weights?
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1answer
22 views
How is the hidden state of a GRU initialized
This is a GRU. Now, what will be the value of $h_t$, at $t$=$0$. That is, what will be the value of the hidden state at just the starting?
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0answers
53 views
What is the time complexity for training a gated recurrent unit (GRU) neural network using back-propagation through time?
Let us assume we have a GRU network containing $H$ layers to process a training dataset with $K$ tuples, $I$ features, and $H_i$ nodes in each layer.
I have a pretty basic idea how the complexity of ...
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0answers
20 views
How to get the weight matrices of intermediate layers in bidirectional recurrent neural networks?
I am a newbie in deep learning. I have a doubt regarding the training procedure of bidirectional recurrent neural networks using backpropagation through time. Following the original paper for ...
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0answers
33 views
Google Trax's GRU layer
I am learning about Trax for the implementation of GRU and LSTMs.
Their documentation says that a GRU layer in Trax can only accept a number of hidden units equal to the number of elements in the ...
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0answers
13 views
Time duration weighted recurrent neural network
Suppose the input time-series feature is $\vec{X}=[\mathbf{x_0},\mathbf{x_1},...\mathbf{x_T}]$, where at each time step $t\in[0,...,T]$, feature $\mathbf{x_t}$ is a vector with dimension $n$.
Typical ...
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0answers
15 views
TCNN vs Conv1D+LSTM
I was reading a bit about TCNN, just wanted to ask if someone has worked with it, can you tell that which is better and Why? 1d Conv + LSTM/GRU or TCNN.
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1answer
38 views
Why is the variance of my model predictions much smaller than the training data?
I trained a GRU model on some data and then created a bunch of predictions on a test set.
The predictions are really bad, as indicated by a near zero R2 score.
I notice that the variance of the model ...
0
votes
1answer
28 views
LSTM / GRU weights during test time
I am working on a historic time series dataset and using RNN, LSTM, GRU models, and I didn't find an answer if in test time, the h (or h, c) weights should be zeors for each batch?
If the weights ...
2
votes
1answer
27 views
GRU and LSTM does not “take risk” predicting
I tested LSTM and GRU models to predict the exchange rate between currencies. I do not take the raw price but a the delta with the previous day, so the data is stationnary around zero.
My problem is ...
2
votes
0answers
56 views
Custom GRU With 3D Spatial Convolution Layer In Keras
I am trying to implement a custom GRU model that is shown in this paper 3D-R2N2 The GRU pipeline looks like:
The original implementation is theano based and I am trying to apply the model in tf2/...
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vote
1answer
559 views
How to add a Decoder & Attention Layer to Bidirectional Encoder with tensorflow 2.0
I am a beginner in machine learning and I'm trying to create a spelling correction model that spell checks for a small amount of vocab (approximately 1000 phrases). Currently, I am refering to the ...
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vote
0answers
34 views
LSTM / GRU prediction with hidden state?
I am trying to predict a value based on time series by series of 24 periods (the 25th period)
While training I have a validation set with I babysit the training (RMSE) and each epoch, eval the ...
1
vote
1answer
109 views
Using GRU with FeedForward layers in Python
I'm trying to reproduce the codes in this paper here for the multi-labeling problem (11 classes), which is using
...
1
vote
1answer
93 views
Keras RNN (batch_size
I created an RNN model for text classification with the LSTM layer, but when I put the batch_size in the fit method, my model trained on the whole batch instead of just the mini-batch _size.
This also ...
3
votes
1answer
1k views
TensorFlow / Keras: What is stateful = True in LSTM layers?
Could you elaborate on this argument? I found the brief explanation from the docs unsatisfying:
stateful: Boolean (default False). If True, the last state for each sample at index i in a batch will ...
2
votes
1answer
179 views
Impact of varying sequence length in ensemble GRU model
I am using ensemble gru for my project and keeping different cell sizes for different models !For example, first gru model is of size 16 and the second is of 8 and 4 for the third model.
The model is ...
2
votes
0answers
26 views
Wiggle in the initial part of an LSTM prediction
I working on using LSTMs and GRUs to make time series predictions. For the most part the predictions are pretty good.
However, there seems to be a wiggle (or initial up-then-down) before the ...
2
votes
0answers
56 views
GRU learns small-scale features, but misses large scales
Playing around with weather data, I have set up a simple RNN with one layer of GRUs. It is trained to recover the temperature of the next day, given weather data of the last 5 days, each with 1-hour ...
143
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6answers
124k views
When to use GRU over LSTM?
The key difference between a GRU and an LSTM is that a GRU has two gates (reset and update gates) whereas an LSTM has three gates (namely input, output and forget gates).
Why do we make use of GRU ...