In a feed forward neural network with the following specifications:

Input layer has 4 neurons, hidden layer has 3 neurons and output layer has 2 neurons using the sigmoid activation function for given input values [0.5, 0.8, 0.2, 0.6] as well as the initial weights for the connections.

W1: [0.1, 0.3, 0.5, 0.2]

W2: [0.2, 0.4, 0.6, 0.2] Input layer to hidden layer weights

W3: [0.3, 0.5, 0.7, 0.2]

W4: [0.4, 0.1, 0.3]

W5: [0.5, 0.2, 0.4] Hidden layer to output layer weights

What is the output of the output layer when the given input values are passed through neural network? Round the answer to two decimal places :

1
[0.62, 0.68]
2
[0.72, 0.78] 
3
[0.82, 0.88]
4
[0.92, 0.98]

Sponsored

hivanix.in

Visit

This quiz is brought to you by hivanix.in

🌐 Web App Development

Quick Navigation