name the component of a neural network where the true value of the input is not observed.
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It is the synapses or weighting factor where the true value of the input is not observed.
These are trained in a manner so that it can process any information in a meaningful and useful manner.
Different artificial neural networks are also organised to let it adapt in different situations.
These are trained in a manner so that it can process any information in a meaningful and useful manner.
Different artificial neural networks are also organised to let it adapt in different situations.
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It is basically the synapses or weighting factor where the true value of the input is not observed.
In the nervous system, a synapse is a structure that permits a neuron (or nerve cell) to pass an electrical or chemical signal to another neuron or to the target effector cell.
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