Question 5
Consider a feed-forward neural network containing three inputs and one output. It contains 50 hidden layers, each containing two neurons. The activation function used in all the hidden layers is ReLU, the output layer uses the Sigmoid activation function for binary classification. The network is trained with a binary cross-entropy loss function.
Assume all weights are initialized to 1 and all biases to 0. For an input of [-10, 5, -20], what will be the output of the neural network?
0
1
0.5
0.25
-25
Insufficient information