Question

Every Neuron In The Input Layer Represents A/An _______________ Variable That Influences The Output.

Answer 1

Every Neuron In The Input Layer

Explanation:

Every Neuron In The Input Layer Represents an ___Unique______ Variable That Influences The Output.

Every neuron in the input layer is a unique feature in a height, hair, color dataset etc. Sitting between the input and output layers, the control function is applied before the tests are transferred. Also, a network consists of multiple hidden layers.

A neuron can take a weighted number of inputs, use a function activation and generate an output.

Answer 2

Every neuron in the Input Layer represents an Independent variable that influences the output.

Explanation:

• In Neural Networks, Input values are known as Independent variables, while the output values are known as Dependent variables.

• The layer of inputs is the first layer in any neural network, while the outputs consisting layer is the last layer.

• In between the input and output layers, hidden layers are arranged.

• During the processing stage, the independent inputs are multiplied with the weights and some bias is added.

• The resultant input x weight compositions are summed up and sent to the activation function that results in output.

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