神经网络输入/输出 [英] Neural net input/output

问题描述

任何人都可以向我解释如何处理更复杂的数据集，例如球队统计数据，天气，骰子，复杂数字类型

Can anyone explain to me how to do more complex data sets like team stats, weather, dice, complex number types

我了解所有数学知识以及一切工作原理，只是我不知道如何输入更复杂的数据，然后如何读取它吐出的数据

i understand all the math and how everything works i just dont know how to input more complex data, and then how to read the data it spits out

如果有人可以在python中提供示例，那将有很大帮助

if someone could provide examples in python that would be a big help

推荐答案

您必须将输入和输出编码为可以由神经网络单元表示的内容. (例如，如果您单位的范围在[-1，1]内，则"x具有特定属性p"为1，"x不具有属性p"为-1)

You have to encode your input and your output to something that can be represented by the neural network units. ( for example 1 for "x has a certain property p" -1 for "x doesn't have the property p" if your units' range is in [-1, 1])

对输入进行编码的方式和对输出进行解码的方式取决于您要为其训练神经网络的方式.

The way you encode your input and the way you decode your output depends on what you want to train the neural network for.

此外，针对不同任务(反向传播，boltzman机器，自组织图)，存在许多神经网络"算法和学习规则.

Moreover, there are many "neural networks" algoritms and learning rules for different tasks( Back propagation, boltzman machines, self organizing maps).

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