Long Short Term Memory. A neural network architecture that contains recurrent NN blocks that can remember a value for an arbitrary length of time. A very popular building block for deep NN.

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Measure Accuracy of LSTM for text classification in R

I am using R on windows platform single user desktop version. I have text from twitter which I am using for text classification. I have created a CORPUS of the text and developed a model using LSTM in ...
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LSTM prediction output for multiple values given a certain time step

I came across a time series prediction problem where I have a dataset with multiple entries. Each entry represents a value of a certain category in a given time. All the entries are indexed by their ...
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using dynamic_rnn with multiRNN gives error

I want to create a dynamic_rnn using tensorflow in python with Multi LSTM cells.form searches on internet I have found this code:import tensorflow as tfbatch_size=30truncated_series_length=4...
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How to train a LSTM Neural Network to forecast a full “cycle” of a Time Series?

I have the below data whose "cycles" grow in period over time:My goal is to feed some fraction of this into a LSTM network in order to predict or forecast the remaining points (at least enough to ...
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LSTM Keras target size error

#x_train.shape=7x5x5 numpy array#y_train.shape=3x5x5 numpy array#x_test.shape=(7,) numpy array#y_test.shape=(3,) numpy array I have binary output as 0 or 1.timeteps=5data_dim=5...
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How to use output of Neural Network as input for another NN in Keras

I implemented an LSTM with Keras and trained it on a corpus. Now I want to take the output of the NN and pass it as input to another NN model and test on a test set. I saved the model of the NN, but I ...
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Output of the call method of a LSTM layer in Keras

I am building a RNN in Keras, and I do not completely understand the documentation on the call method.According to the documentation, the call method of a layer inheriting the RNN class should ...
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Building an LSTM net with an embedding layer in Keras

I want to create a Keras model consisting of an embedding layer, followed by two LSTMs with dropout 0.5, and lastly a dense layer with a softmax activation.The first LSTM should propagate the ...
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Inner workings of Keras LSTM

I am working on a multi-class classification task: the goal is to identify what is the correct language of origin of a certain surname. For this, I am using a Keras LSTM. So far, I have only worked ...
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How can I use a custom data model with Deeplearning4j?

The base problem is trying to use a custom data model to create a DataSetIterator to be used in a deeplearning4j network.The data model I am trying to work with is a java class that holds a bunch of ...
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keras lstm output confusion

i'm having trouble understanding what's going on in the following code, in which i'm reshaping the input from (batch_size, features) to (1, batch_size, features), then feeding this to an LSTM with ...
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How to change the input to an LSTM [on hold]

I deal with this issue for quite a long time and perhaps somebody can help me.I have trained a LSTM with some sequences of timeseries to classify them.When I use [updatedNet.YPred]=...
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Keras LSTM RNN for Classification

Can an LSTM “count” the number of times a sensor hit a peak reading?I created a simple example in which 2 machines fail as soon as they receive their third sensor rating of 25pts or higher. However, ...
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HSTACK CNN output with Lambda function

I have made one type of NN that uses CNN and LSTM presented here: After the CNN layers, I use the Lambda function to feed each Filter (images created on CNN) to one LSTM, one-by-one. Now I want to ...
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LSTM in Pytorch

I'm new to PyTorch. I came across some this GitHub repository (link to full code example) containing various different examples.There is also an example about LSTMs, this is the Network class:# ...

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