Question 18
Consider the following neural network and answer the given subquestions.
A feedforward neural network has 2 input neurons, one hidden layer (l = 1) with 2 neurons, and one output neuron (l = 2). Every neuron uses the sigmoid activation
. For each layer : , Here is the input. Binary cross entropy loss is being used.
Compute
i.e., the gradient of the loss with respect to the hidden-layer weight (connecting input to hidden neuron ).Give the value correct upto four decimal places.