Data Science

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ANN Classifier for extracted discrete image features

I have a features extraction algorithm that works well to extract features from images. I want to develop an ANN to classify those images based on those features. I have extracted features in a csv ...
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In neural networks model, which number of hidden units to select?

In the neural networks model, how many numbers of hidden units need to keep to get an optimal result, as per Cybenko theorem which demonstrates that only one hidden layer is sufficient to solve any ...
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A training approach to do transfer learning on a pre-trained recurrent neural network to classify for each set of predicted features?

Let's say we want to classify the genre of a number of books as classes. We have a neural network that can read and encode each sentence in the book using a layer of neural network (e.g. word ...
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Cost function in ANN converges to 0.5 and the values of outputs all converge to 0

I have written a simple ANN to understand its internal structure better. However for the past few days I could not understand why it does not perform in the expected way. The way I defined COST ...
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18 views

Backpropagation through the inputs of convolutional layer in LeNet

I am trying to understand backprop for LeNet according to the original article http://vision.stanford.edu/cs598_spring07/papers/Lecun98.pdf I think I have successfully done backdrop till the C3 ...
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32 views

Neural Network widget in Orange

I would like to know how the data is normalized whenever Neural Network widget is used in Orange. I've already extracted the ANN parameters (weights and biases) and it was not possible for me to ...
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68 views

ANN return many result differents

I made an application that uses neural networks, its function is to classify the type of user that is, it can be legitimate or intrusive, the data was saved in the database, when I give it in the ...