# Some questions for LSTM

**URL:** https://discourse.julialang.org/t/some-questions-for-lstm/84907
**Category:** General Usage
**Tags:** question
**Created:** [July 28, 2022, 7:29am UTC](https://discourse.julialang.org/t/some-questions-for-lstm/84907 "2022-07-28T07:29:29Z")
**Posts on this page:** 1
**Showing post:** 5

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### Author: ![Karthik-d-k](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/karthik-d-k/32/35438_2.png) [@Karthik-d-k](https://discourse.julialang.org/u/Karthik-d-k)
#### Post date: [July 28, 2022, 11:33am UTC](https://discourse.julialang.org/t/some-questions-for-lstm/84907/5 "2022-07-28T11:33:22Z")

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Sorry, I haven’t used LSTM / RNN from Flux yet, so i don’t have an answer,  
But there is kind of similar post where you might get some lead →

> [@Broadcasting over a Flux.DataLoader](https://discourse.julialang.org/t/broadcasting-over-a-flux-dataloader/70414):
>
> Apologies for this question since I’ve had a lot of trouble producing a MWE (which I don’t have). I’m working on an RNN using text data (each observation is a sentence - each word in each sentence is mapped to a word embedding). The problem is classification into six classes. The issue I am having I think relates to using the Flux.DataLoader type. The basic setup is… train\_data = Flux.DataLoader((data=train, label=tlabels), batchsize=42, shuffle=true) # train\_data.data.data is 1x357, wher…

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