Question

Q:2. The inputs for a single layer neural
network are 1, 3, 2 and the weights of links
connecting input neurons to the output
neuron are 2, 2, and 3 then the output will be
(Identity activation function is used in output
neuron):
1. 6
2. 14
3. 12
4. None of the above​

Answer 1

Answer:

12

Explanation:

Answer 2

The inputs for a single layer neural network are 1, 3, 2 and the weights of links connecting input neurons to the output neuron are 2, 2, and 3 then the output will be12 (3)

Explanation:

1.The input layer of a neural network is composed of artificial input neurons, and brings the initial data into the system for further processing by subsequent layers of artificial neurons.

2. The input layer is the very beginning of the workflow for the artificial neural network.

3.The equation for the neural network is a linear combination of the independent variables and their respective weights and bias (or the intercept) term for each neuron. The neural network equation looks like this: Z = Bias + W1X1 + W2X2 + …+ WnXn

where,

Z is the symbol for denotation of the above graphical representation of ANN.

Wis, are the weights or the beta coefficients

Xis, are the independent variables or the inputs, and

Bias or intercept = W0