A Gated Recurrent Unit (GRU) is a type of unit in a recurrent neural network.
Questions tagged [gated-recurrent-unit]
80 questions
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TensorFlow Bidirectional GRU returns ValueError because of incorrect shape
I'm implementing a bi-directional labeling GRU network (1 layer forward, 1 layer backward), using TensorFlow version 0.9. Upon the initialization of the model, TensorFlow initializes all the variables, creates the GRU cells and applies all regular…
R Baron
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How can I complete following GRU based RNN written in tensorflow?
So far I have written following code:
import pickle
import numpy as np
import pandas as pd
import tensorflow as tf
# load pickled objects (x and y)
x_input, y_actual = pickle.load(open('sample_input.pickle', 'rb'))
x_input = np.reshape(x_input,…
exAres
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What should be the size of input and hidden state in GRUCell of tensorflow (python)?
I am new to tensorflow (1 day of experience).
I am trying following small code to create a simple GRU based RNN with single layer and hidden size of 100 as follows:
import pickle
import numpy as np
import pandas as pd
import tensorflow as tf
#…
exAres
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2 answers
RNN with GRU in Keras
I want to implement Recurrent Neural network with GRU using Keras in python. I have problem in running code and I change variables more and more but it doesn't work. Do you have an idea for solve it?
inputs = 42 #number of columns input …
Mahdi.m
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1 answer
Understanding OutPuts of Neural Network
I have a problem in outputs of neural network.
I have 3 layers and in last layer my activation method is softsign and accuracy of it is 97% but i don't understand output of it.
how can i interpret of it?
array([ 2.7876117e-04, -1.1861416e-04,…
Mahdi.m
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