The output of a node in an artificial neural network is generally derived from:Group of answer choicesthe strongest input of the node.the sum of the inputs of the node multiplied by the node’s weight.the node’s weight divided by the sum of its inputs.the activation function applied to the weighted sum of the node’s inputs.
Question
The output of a node in an artificial neural network is generally derived from:Group of answer choicesthe strongest input of the node.the sum of the inputs of the node multiplied by the node’s weight.the node’s weight divided by the sum of its inputs.the activation function applied to the weighted sum of the node’s inputs.
Solution
The output of a node in an artificial neural network is generally derived from the activation function applied to the weighted sum of the node’s inputs.
Here's a step-by-step breakdown:
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Each node in a neural network receives multiple inputs. Each of these inputs is associated with a weight, which signifies the importance of that input.
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These inputs are multiplied by their respective weights. This is called the weighted sum.
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This weighted sum is then passed through an activation function. The purpose of the activation function is to transform the input signal to an output signal. It also introduces non-linearity into the output of a neuron.
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The output of the activation function is the final output of the node.
So, the correct answer is "the activation function applied to the weighted sum of the node’s inputs."
Similar Questions
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What is the main function of a perceptron in an artificial neural network?<br /> A. 1. To compute a weighted sum of its inputs and apply an activation function to determine the output. <br />B. 2. To reduce the dimensionality of the inputs based on an activation function and learning rate. <br />C. 3. To cluster input data into positive and negative categories, followed by a sigmoid function. <br />D. 4. To optimize the network parameters using gradient descent and backward propagation.
Artificial neural network is used for?
In a neural network, the ______________ function measures the difference between the actual output and the predicted output.
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