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CNN 模型中的多个输入

[英]Multiple inputs in a CNN model

原文 2020-11-06 16:14:01 6 1 tensorflow/ keras/ deep-learning/ accelerometer/ cnn

Please click here for the image I am asking this question because a lot of questions were asked assuming the input to the CNN model to be an image.请单击此处查看图像我问这个问题是因为假设 CNN 模型的输入是图像，所以提出了很多问题。 My question is - I have a .csv file containing come accelerometer data noted over a period of 0-2 minutes.我的问题是 - 我有一个 .csv 文件，其中包含在 0-2 分钟内记录的加速度计数据。 I have another .csv file containing accelerometer data noted over a period of 0-2 minutes as well( the experiment was basically repeated) I have another .csv file with the same experiment repeated a third time.我还有另一个 .csv 文件，其中包含在 0-2 分钟内记录的加速度计数据（该实验基本上重复了）我还有另一个 .csv 文件，其中第三次重复了相同的实验。

I want to make a model, which does some predictions over this period 0-2 minutes, however I have three different datasets that I can give as input.我想制作一个模型，它在 0-2 分钟的时间内进行一些预测，但是我可以提供三个不同的数据集作为输入。 Do I need to merge them together, one after the other?我是否需要将它们一个接一个地合并在一起？ Or is there any better way to do it?或者有没有更好的方法来做到这一点？

1 个解决方案

Generally it is best to use greater dataset for training, unless it is too large or repetitive.通常最好使用更大的数据集进行训练，除非它太大或重复。 Set aside small part of it for testing.留出一小部分用于测试。 Hard to tell more without specific details.没有具体细节很难说更多。

将多个输入传递给CNN模型 - Passing multiple inputs to CNN model

CNN model 预测任何输入的相同 output - CNN model predicting the same output for any inputs

安装具有多个输入的 model - fiting a model with multiple inputs

如何使用两个 DataIterator(s) 训练 CNN model 的双流输入？ - How to train a dual streams inputs of CNN model with two DataIterator(s)?

CNN 回归 model 对所有输入给出类似的 output - CNN regression model gives similar output for all inputs

输入图像列表的 CNN model 输出 [int,int,float] 列表 - CNN model that inputs image list outputs a list of [int,int,float]

具有多个输入的 Keras 序列模型 - Keras Sequential model with multiple inputs

Keras 序列模型的多个输入 - Multiple inputs to Keras Sequential model

Tensorflow中多输入模型的优化 - Optimization of multiple inputs model in Tensorflow

Keras CNN 模型对所有输入预测相同的值，并且在训练期间不会提高准确性 - Keras CNN model predicts the same value for all inputs and does not increase accuracy during training

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相关问题 将多个输入传递给CNN模型 - Passing multiple inputs to CNN model CNN model 预测任何输入的相同 output - CNN model predicting the same output for any inputs 安装具有多个输入的 model - fiting a model with multiple inputs 如何使用两个 DataIterator(s) 训练 CNN model 的双流输入？ - How to train a dual streams inputs of CNN model with two DataIterator(s)? CNN 回归 model 对所有输入给出类似的 output - CNN regression model gives similar output for all inputs 输入图像列表的 CNN model 输出 [int,int,float] 列表 - CNN model that inputs image list outputs a list of [int,int,float] 具有多个输入的 Keras 序列模型 - Keras Sequential model with multiple inputs Keras 序列模型的多个输入 - Multiple inputs to Keras Sequential model Tensorflow中多输入模型的优化 - Optimization of multiple inputs model in Tensorflow Keras CNN 模型对所有输入预测相同的值，并且在训练期间不会提高准确性 - Keras CNN model predicts the same value for all inputs and does not increase accuracy during training

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