# Flux Can 2-Dimensional Input be fed into MLP columnwise for column output?

**URL:** https://discourse.julialang.org/t/flux-can-2-dimensional-input-be-fed-into-mlp-columnwise-for-column-output/48622
**Category:** General Usage
**Tags:** question
**Created:** [October 19, 2020, 11:23am UTC](https://discourse.julialang.org/t/flux-can-2-dimensional-input-be-fed-into-mlp-columnwise-for-column-output/48622 "2020-10-19T11:23:21Z")
**Posts on this page:** 1
**Page:** 1

<div class="post-metadata">

### Author: ![compleat](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/compleat/32/8958_2.png) [@compleat](https://discourse.julialang.org/u/compleat)
#### Post date: [October 19, 2020, 11:23am UTC](https://discourse.julialang.org/t/flux-can-2-dimensional-input-be-fed-into-mlp-columnwise-for-column-output/48622/1 "2020-10-19T11:23:21Z")

</div>

I have an MLP with one output and I am using Flux.  
Is it possible to have an input of k columns of data and have each column applied to this same MLP so that the output is a column of size k?

If so, and if the above represents 1 training pattern, how might I represent a batch?

[Is this a special case of a Convolutional Network?]

Thanks for any help.