CT-AI · Question #15
The activation value output for a neuron in a neural network is obtained by applying computation to the neuron. Which ONE of the following options BEST describes the inputs used to compute the…
The correct answer is A. Individual bias at the neuron level, activation values of neurons in the previous layer, and weights. Option A correctly identifies all components involved in computing the activation value: the individual bias, the activation values of the previous layer, and the weights of the connections.
Question
The activation value output for a neuron in a neural network is obtained by applying computation to the neuron. Which ONE of the following options BEST describes the inputs used to compute the activation value?
Options
- AIndividual bias at the neuron level, activation values of neurons in the previous layer, and weights
- BActivation values of neurons in the previous layer, and weights assigned to the connections
- CIndividual bias at the neuron level, and weights assigned to the connections between the
- DIndividual bias at the neuron level, and activation values of neurons in the previous layer.
How the community answered
(24 responses)- A79% (19)
- B4% (1)
- C13% (3)
- D4% (1)
Explanation
Option A correctly identifies all components involved in computing the activation value: the individual bias, the activation values of the previous layer, and the weights of the connections.
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