CODE EXAMPLE FOR PYTHON

python derivative of mean squared error

    
def mse_loss_grad(y, t):
    loss_ = np.sum(np.subtract(t-y))*(2/y.shape[0])
    
    print("Derivative MSE: ".format(loss_)