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Artificial neural networks (ANN), are composed of 'neurons' - programming constructs that mimic the properties of biological neurons. A set of weighted connections between the neurons allows information to propagate through the network to solve artificial intelligence problems without the network designer having had a model of a real system.

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Neural network with variable number of inputs

I have the following problem: I have a set of time-stamped articles and labels for particular instants of time. I want to train a neural network to learn which articles to take in as input (according …
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How is CBOW different from building PMI matrix and then reducing using PCA

PMI matrix and reduction using PCA: Based on the number of times 2 words appear together (in a certain pre-defined window), and the individual frequency of words, we build the PMI matrix. Then reduce …
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