Выходные данные неизвестны
The Neural Network Toolbox is written so that if you read Chapter 2, Chapter 3 and Chapter 4 you can proceed to a later chapter, read it and use its functions without difficulty. To make this possible, Chapter 2 presents the fundamentals of the neuron model, the architectures of neural networks. It also will discuss notation used in the architectures. All of this is basic material. It is to your advantage to understand this Chapter 2 material thoroughly. The neuron model and the architecture of a neural network describe how a network transforms its input into an output. This transformation can be viewed as a computation. The model and the architecture each place limitations on what a particular neural network can compute. The way a network computes its output must be understood before training methods for the network can be explained.
