Pybrain多维数据输入 [英] Pybrain multi dimensional data input

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本文介绍了Pybrain多维数据输入的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

我有一些数据,每个记录的尺寸 8x128 .我想训练这些数据的神经网络.

I have some data that has a dimension of 8x128 for each record. I wanted to train a Neural Network for this data.

有人有没有使用多维数据作为Pybrain神经网络输入的示例? 我搜索了文档,仅找到一维输入示例. 在此处输入链接描述

Does anyone have any examples of using Multi-Dimensional Data as Input to a Pybrain Neural Network? I've searched the documentation and found only Single Dimensional Input examples. enter link description here

推荐答案

神经网络不关心输入数据的维数,只需对其进行序列化(reshape([1024]))并将其作为输入即可.

Neural Networks don't care about the dimensionality of your input data, just serialize it (reshape([1024])) and feed that as input.

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