Question

Which component of a neural network decides whether a neuron should be activated or not based on the input it receives?

• A. Activation Function
• B. Bias
• C. Weight
• D. Neuron

Hint:

Activation functions like ReLU, Sigmoid, and Tanh introduce non-linearity and decide neuron activation.

Answer 1

The Correct Option is A

Step 1: Understanding neural networks.
In a neural network, each neuron processes input signals and decides whether to pass the signal forward.

Step 2: Role of components.
• (A) Activation Function: Correct. It determines whether the neuron activates (fires) or not. • (B) Bias: Adjusts output but does not decide activation alone. • (C) Weight: Represents importance of inputs. • (D) Neuron: Basic unit, not the decision-making function.
Step 3: Conclusion.
Thus, the activation function controls whether a neuron activates or not.
Final Answer: Activation Function.