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Results tagged with neural-networks
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user 261236
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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Intuition behind output neuron error signal in backpropagation
A given input in a neural network pass in forward direction to compute the output with a given set of initial values of parameters.
And error signal pass in backward direction to update the correspon …
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Is it possible to explain regression or classification, interpolation and generation using a...
Neural network is established as an universal approximator of all machine learning models. Further, double descent phenomenon in a neural network propagates the journey of regression to interpolation …
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Can we perform any machine learning modelling by using Neural Network?
I am trying to understand the powerful modelling capacity of neural network. As we know
Logistic regression can be performed by using neural network with single output node, no hidden layer and logis …
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