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Adaline in neural network
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ADALINE (Adaptive Linear Neuron or later Adaptive Linear Element) is an early single-layer artificial neural networkand the name of the physical device that implemented this network
gaurav kawade 0 0
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EBP in neural network
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Backpropagation, an abbreviation for "backward propagation of errors", is a common method of training artificial neural networks used in conjunction with anoptimization method such as gradient descent. The method calculates the gradient of a loss function with respects to all the weights in the network. The gradient is fed to the optimization method which in turn uses it to update the weights, in an attempt to minimize the loss function.
gaurav kawade 0 0
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MLP in neural network
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A multilayer perceptron (MLP) is a feedforward artificial neural network model that maps sets of input data onto a set of appropriate outputs. A MLP consists of multiple layers of nodes in a directed graph, with each layer fully connected to the next one
gaurav kawade 0 0
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RBF in neural network
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a radial basis function network is an artificial neural network that uses radial basis functions as activation functions. The output of the network is a linear combination of radial basis functions of the inputs and neuron parameters. Radial basis function networks have many uses, including function approximation, time series prediction, classification, and system control.
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