APPLICATION OF SUPERVISED LEARNING
NEURAL NETWORK
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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artificial neural network (ANN)
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neuron
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weight
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bias
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Detailed explanation-1: -Definition. An artificial neural network (ANN), usually called neural network (NN), is a mathematical model or computational model that is inspired by the structure and/or functional aspects of biological neural networks.
Detailed explanation-2: -You can consider an artificial neuron as a mathematical model inspired by a biological neuron. A biological neuron receives its input signals from other neurons through dendrites (small fibers). Likewise, a perceptron receives its data from other perceptrons through input neurons that take numbers.
Detailed explanation-3: -ANN models are the extreme simplification of human neural systems. An ANN comprises of computational units analogous to that of the neurons of the biological nervous system known as artificial neurons. Mainly, the ANN model constitutes of three layers, viz., input, hidden, and output.
Detailed explanation-4: -An Artificial neural network is usually a computational network based on biological neural networks that construct the structure of the human brain.