MACHINE LEARNING

APPLICATION OF SUPERVISED LEARNING

NEURAL NETWORK

Question [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
what is the BNN equivalent to ANN output?
A
Soma
B
Dendrite
C
Synapses
D
Axon
Explanation: 

Detailed explanation-1: -SIMILARITIES. Since ANN is built as the structure of BNN, it basically has similar look as BNN. They are both the composition of neurons (BNN is consist of neurons as cells well ANN is consist of neurons as nodes and edges).

Detailed explanation-2: -Axon − It is just like a cable through which neurons send the information. Synapses − It is the connection between the axon and other neuron dendrites.

Detailed explanation-3: -The output of ANN is a value that represents the prediction of a variable being sought. The next important part of ANN is the weight. Weights are used as input multipliers that will enter a neuron. Each neuron that is connected to each other will have their own weights.

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