Instead, a modern neural network is a network of small computing units, each of which takes a vector of input values and produces a single output value. In this chapter we introduce the neural net applied to classification. The architecture we introduce is called a feedforward network because the computation proceeds iterfeedforward atively from one layer of units to the next. The use of modern neural nets is often called deep learning, because modern networks are often deep (have many layers).