MACHINE LEARNING

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APPLICATION OF SUPERVISED LEARNING

NEURAL NETWORK

Question [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
perceptron ____ is either an external trigger from the environment or comes from outputs of other artificial neurons
A
input
B
weight
C
net input function
D
activation function
E
output
Explanation: 

Detailed explanation-1: -Perceptron is a single layer neural network and a multi-layer perceptron is called Neural Networks. Perceptron is a linear classifier (binary). Also, it is used in supervised learning. It helps to classify the given input data.

Detailed explanation-2: -Activation Functions of Perceptron Sign Function outputs +1 or-1 depending on whether neuron output is greater than zero or not. Sigmoid is the S-curve and outputs a value between 0 and 1.

Detailed explanation-3: -A simple perceptron. Each input is connected to the neuron, shown in gray. Each connection has a weight, the value of which evolves over time, and is used to modify the input. Weighted inputs are summed, and this sum determines the output of the neuron, which is a classification (in this case, either 0 or 1).

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