APPLICATION OF SUPERVISED LEARNING
NEURAL NETWORK
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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The neurons in the human brain regularly change their threshold.
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True
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False
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Either A or B
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None of the above
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Explanation:
Detailed explanation-1: -A threshold transfer function is sometimes used to quantify the output of a neuron in the output layer. Feed-forward networks include Perceptron (linear and non-linear) and Radial Basis Function networks. Feed-forward networks are often used in data mining.
Detailed explanation-2: -Every neuron has three properties: first is biased, second is weight and third is the activation function. Further, bias is the negative threshold after which you want the neuron to fire. Weight is how you define which input is more important to the others.
Detailed explanation-3: -Approximately 86 billion neurons in the human brain.
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