Deep Learning (Relu and Sigmoid)

Below is a fully connected neural network model (Multilayered network) with two nodes in the input layer, two nodes in the hidden layer with 'ReLu' activation function, and one node in the output layer with 'Sigmoid' activation function. Let's say the weights are given given by w1=0.0124,w2=0.001,w3=1.148,w4=0.941,w5=0.773,w6=0.102 what is the output from the node in the output layer for x=0.0 and y=1.0 ? Input Layer Hidden Layer output Layor 0.50 0.52 0.45 1.0