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.

编写神经网络工具箱的目的是为了让你在阅读第二章、第三章和第四章后，能够顺利地使用这些功能。

神经网络工具箱是这样编写的：如果你读了第2章、第3章和第4章，你可以继续阅读后面的章节，并毫无困难地使用其功能。为了使之成为可能，第2章介绍了神经元模型的基本原理，神经网络的结构。它还将讨论架构中使用的记号。所有这些都是基本材料。彻底理解第二章的材料对你是有利的。神经元模型和神经网络的结构描述了一个网络如何将其输入转化为输出。这种转换可以被看作是一种计算。模型和架构都对一个特定的神经网络所能计算的内容进行了限制。在解释网络的训练方法之前，必须了解网络计算其输出的方式。