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Results tagged with neural-networks
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user 12633
Artificial neural networks (ANNs) are a broad class of computational models loosely based on biological neural networks. They encompass feedforward NNs (including "deep" NNs), convolutional NNs, recurrent NNs, etc.
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How to select input values for neural networks?
From what I understand, you are looking for time series prediction using a feed forward neural network. If that is the case, what you are interested in is to make the neural network learn the relation …
- 161
0
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Neural Network Ensemble Averaging
Firstly, even a single hidden layer neural network with as many hidden units as needed, can approximate any function (the so called universal approximation property of neural networks http://deeplearn …
- 161
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How to propagate error from convolutional layer to previous layer？
Looks like the question is more about, how to propagate error through pooling layer.
You can find the answer here for max-pooling: https://datascience.stackexchange.com/questions/11699/backprop-thro …
- 161
3
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overtrain the CNN?
CNN, like any other neural network, overfits to the training data if it is trained for too long on the same training dataset. The purpose of the validation set is to stop training when performance on …
- 161