You are supposed to train a neural network that will guide auto$-$driving car. The training data consists of grayscale $64\backslash$times $64$ pixel images. The training labels include the human driver$$s steering wheel angle in degrees and the human driver$$s speed in miles per hour in output layer. Your neural network consists of an input layer with $64\backslash$times $64=4096$ units, a hidden layer with $2048$ units, and an output layer with $2$ units $($one for steering angle, one for speed$).$ You use the ReLU activation function for the hidden units and no activation function for the outputs $($or inputs$).$