# How to use multiple inputs in \`NeuralODE\` object?

**URL:** <https://discourse.julialang.org/t/how-to-use-multiple-inputs-in-neuralode-object/66955>\
**Category:** Machine Learning\
**Tags:** question\
**Created:** [August 25, 2021, 3:21am UTC](https://discourse.julialang.org/t/how-to-use-multiple-inputs-in-neuralode-object/66955 "2021-08-25T03:21:29Z")\
**Posts on this page:** 1\
**Showing post:** 3

<div class="post-metadata">

**Author:** ![DiracFermion1](https://avatars.discourse-cdn.com/v4/letter/d/2acd7d/32.png) [@DiracFermion1](https://discourse.julialang.org/u/DiracFermion1)\
**Post date:** [August 25, 2021, 1:43pm UTC](https://discourse.julialang.org/t/how-to-use-multiple-inputs-in-neuralode-object/66955/3 "2021-08-25T13:43:33Z")

</div>

oh sorry I did not make it clear. By saying multiple inputs, I meant “each data point has multiple inputs”, an example is this neural network structure: [https://machinelearningmastery.com/wp-content/uploads/2017/08/multiple\_inputs.png](https://machinelearningmastery.com/wp-content/uploads/2017/08/multiple_inputs.png), where we have two branches of inputs and one output. `NeuralODE ` does not seem to be able to accept more than one branch of inputs, so I am wondering whether there is a way to do so.

UPDATE: I figure out how to pass multiple inputs as a tuple, but it looks like trainable parameters are not correctly captured, as discussed here: [How to make parameters of function within Flux.Chain trainable?](https://discourse.julialang.org/t/how-to-make-parameters-of-function-within-flux-chain-trainable/66983), if you can take a look at this question, that would be great, thanks!

---

_[View the full topic](https://discourse.julialang.org/t/how-to-use-multiple-inputs-in-neuralode-object/66955)._