Deep Learning is essential to most of these neural network architectures and hence the choice of a learning algorithm is a central issue in network development. That is a new area, with the goal of establishing, simulating the human mind. A number of such learning rules are available for neural network models. In a neural network, learning can be supervised, in which the network is provided with the correct answer for the output during training, or unsupervised, in which no external teacher is present.
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