Machine Learning, Deep Learning, Computer Science.
complex than A(length) = 100*length — length². Our neural networks have hundreds of thousands of tunable parameters, where we just had one: length. The massive complexity of neural networks is the primary reason we use an iterative process like gradient descent, rather than the analytical process