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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...

Asked on 06/12/2021 by rahul tomar

0 answer

adding a feature as "generic"

I am using sklearn and python, to build a "malicious" login identifier. Reading some documents and examples, I chose the RandomForest classifier, then I decided to use the following features:...

Asked on 06/11/2021 by cips

1 answer

Multivariate noise variance in Gaussian process prediction

In GP regression, we predict using $mu^* = ... (K(X,X)+sigma^2I)^{-1}...$This is fine when the noise $sigma$ is a scalar, but I am confused about what happens when...

Asked on 06/11/2021 by Clintus

0 answer

How to determine if dataset is a suitable representation of the context?

How can I determine if the data I have collected is a good enough representation of the context? For example, I am working on an object detection system and have...

Asked on 06/11/2021

2 answer

If in t-SNE digaram of binary classification both classes follow the similar curve what does t-SNE diagram show?

If in t-SNE digaram of binary classification both classes follow the similar curve what does t-SNE diagram show for instance: Figure1 or ...

Asked on 06/11/2021

2 answer

What kind of algorithms can be used as a stacker in stacked generalization?

In stacked generalization, several algorithms (I use some random trees, booster trees, etc.) are first trained and used to make the predictions which are used as input for another algorithm....

Asked on 06/11/2021 by Spider

1 answer

Three different errors using external information. Which one makes sense? (Or how to interpret each?)

My goal is to compare clustering methods considering different method and different number of clusters using an external information. Could anyone please give some opinion/ recommend book/paper about the following...

Asked on 06/11/2021 by Nima S

0 answer

In sequence models, is it possible to have training batches with different timesteps each to reduce the required padding per input sequence?

I want to train an LSTM model with variable length inputs. Specifically I want to use as little padding as possible while still using minibatches. As far as I understand...

Asked on 06/11/2021 by Tonnz

2 answer

Refactoring Tensorflow 2 to Distributed Tensorflow for CNN

I have been trying to reproduced this paper that is training a CNN with Tensorflow.Unfortunately, I only have access to limited computing resources. I have a...

Asked on 06/11/2021 by Ryan Marinelli

0 answer

Ordering of standardization, pca, and/or tfidf for neural network

I have 60k rows of text data. I have tokenized it into 55k columns. I am using a neural network to classify the data but have some questions about how...

Asked on 06/10/2021

1 answer

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