Questions tagged [recurrent-neural-network]

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Question about Reservoir computing (echo state networks)

Does anyone know why reservoir computing is only applied to time-series (data with temporal structure) and has not been applied instead of usual ANN for non-temporal problems? According to (http://...
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59 views

Multivariate RNN/LSTM architecture for optimizing one input variable

Let $x = [x_1, x_2, x_3]$ and $y = y$ where all variables in $x$ correlates highly with $y$ and there could also be some crosscorrelation within the set of variables in $x$. The data takes the form of ...
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22 views

Use Lstm for classifying problem

i have a dataset of 10000 event with 16 feature, and a vector of dimension 10000 that represent the label of each event; for what i understand is a classification problem but it's required to use a ...
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23 views

external input and Reinforcement Learning

Is there an RL method which in it the next state depends on the "current action" and "current state" AND an "External Input"?
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40 views

Back propagation process of RNN?

I'm learning how to use the Recurrent Neural Network model (RNN). I'm not entirely sure about the feed-forward procedure in RNN. It includes, for example, input, hidden state, and output. As far as I ...
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316 views

Hopfield Network python implementation, Network doesn't converge to one of the learned patterns

I'm trying to implement a Hopfield Network in python using the NumPy library. The network has 2500 nodes (50 height x 50 width). The network learns 10 patterns from images of size 50x50 stored in &...
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Do Any Frameworks Provide Better Support for End-To-End Integer-Based Feature Engineering, Modeling, and Inference?

A retail enterprise I work with with wants to switch from its home-grown time series data analysis and prediction system to something more established and with community support. One unique feature ...
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21 views

How to put marker on time series training set

My input is this picture And I would like to put markers on it and use time series with markers as a label Two picture are not scaled. Main point is I would like to train RNN classifier and let it be ...
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111 views

Pytorch: how to pass the hidden state between the samples in LSTM?

I am trying to boost the performance of a object detection task with sequential information, using ConvLSTM. A typical ConvLSTM model takes a 5D tensor with shape ...
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What is the difference between the second layer of a recurrent hamming network and a simple maximum search?

In a Hamming network, the second Layer is a recurrent/competitive layer, in which its neurons are initialized by the outputs of first layer see chapter 3-10 in Neural Network Design. The output $a$ ...
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263 views

Problems to understand how to create the input data for time series forecasting with a recurrent neural network in Keras

I just started to use recurrent neural networks (RNN) with Keras for time-series forecasting and I found this tutorial Forecasting with RNN. I have difficulties understanding how to build the training ...
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170 views

Need help to understand backpropagation for gated recurrent units (GRU)

I'm stuck regarding the implementation of backpropagation in a binary classification task using a GRU. I wanted to know if someone could tell me how to proceed. I was able to understand how BP works ...