Questions about machine learning techniques

Asked 2 years ago, Updated 2 years ago, 52 views

Hello, everyone I am a student who is just studying deep learning.

I created a two-dimensional array of data with dimension (X,Y) with various indexes over time through the data frame. Let X be the value for time, and Y is the number of indexes. Is there a deep learning or machine learning technique that takes this form as it is and then extracts output with the same arrangement? I've been looking for LSTM mostly, but I don't know if it's what I found, but most LSTMs use multivariate value or one value to extract only one output. (This part may be that I don't have enough information yet because I'm not good at studying...)

So as mentioned above, can I know the deep learning or machine learning techniques that correspond to examples like me?

deep-learning machine-learning

2022-09-20 19:02

1 Answers

https://datascience.stackexchange.com/questions/45228/multi-step-forecast-for-multivariate-time-series-lstm-keras

I think these questions are a little similar.

my own experience you'd be better to start search is not, but the two seq seq. Translation or ...

seems to be similar to that.


2022-09-20 19:02

If you have any answers or tips


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