3. Suppose a simple single layer perceptron with 2-d input X=(x1, x2), a bias, ReLU for activation function, and MSE (mean squared error) for loss function, DDDD X 2 1 X 1 - 1 - 1 3 2 0 a. Show evolution of weights according to stochastic gradients algorithm with batch size=1 b. Show evolution of weights according to stochastic gradients algorithm with batch size=2