Computer Science · Neural Networks

Consider 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. Given input values are [0.5, 0.8, 0.2, 0.6]. Weights for input to hidden layer connections: W1: [0.1, 0.3, 0.5, 0.2] W2: [0.2, 0.4, 0.6, 0.2] W3: [0.3, 0.5, 0.7, 0.2] Weights for hidden layer to output layer connections: W4: [0.4, 0.1, 0.3] W5: [0.5, 0.2, 0.4] What is the output of the output layer when the given input values are passed through the neural network? (Round the answer to two decimal places)