<p>I started modeling a linear regression problem using dense layers (layers.dense), which works fine. I am really excited, and now I am trying to model a time series linear regression problem using CNN, but from my research in this link <a href="https://machinelearningmastery.com/keras-functional-api-deep-learning/" rel="nofollow noreferrer">Machine learning mastery</a></p>

<p>A CNN works well with sequence data, but my data isn’t sequential. My data set can be found here <a href="https://stackoverflow.com/questions/57224353/is-my-training-data-set-too-complex-for-my-neural-network">Stack overflow question</a>.</p>

<p>Is there a multivariate time series/ time series neural network architecture that I can use for time series linear/nonlinear regression?</p>

CC BY-SA 4.0
2019-08-18T04:04:51.067Z
That linked post is what you need. LTSM is an example.
hisairnessag3
CC BY-SA 4.0
2021-12-28T21:49:40.820Z
Let me know if this problem has been solved and if I can delete the post.
nbro
<neural-networks><keras><regression><time-series>
What are the possible neural network architecture for linear regression or time series regression?
Jun Liu
# What are the possible neural network architecture for linear regression or time series regression?

(Asked by: username_0 on 2019-07-29)

I started modeling a linear regression problem using dense layers (layers.dense), which works fine. I am really excited, and now I am trying to model a time series linear regression problem using CNN, but from my research in this link [Machine learning mastery](https://machinelearningmastery.com/keras-functional-api-deep-learning/)

A CNN works well with sequence data, but my data isn’t sequential. My data set can be found here [Stack overflow question](https://stackoverflow.com/questions/57224353/is-my-training-data-set-too-complex-for-my-neural-network).

Is there a multivariate time series/ time series neural network architecture that I can use for time series linear/nonlinear regression?

**Tags:** neural-networks, keras, regression, time-series

> **Comments:**
> **username_1**: That linked post is what you need. LTSM is an example.  
> **username_2**: Let me know if this problem has been solved and if I can delete the post.  

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## 0 answers

