清空筛选条件
清空筛选条件

How to handle very short sequences in LSTM Network

3 次查看（过去 30 天）
404: name not found
编辑： 404: name not found 2019-3-7
Hello Matlab Community,
I am using MATLAB 2018b I am trying to apply the sequence to sequence regression network on a dataset with very short sequences.
I basically followed the 'Sequence-to-Sequence Regression Using Deep Learning' tutorial which is given by MATLAB.
When I apply this tutorial to my dataset it only returns NaN as a prediction.
And the graph also suggests that it stops calculating after some iterations.
this is the verbose output:
|=========================================================================|
| Epoch | Iteration | Time Elapsed | Mini-batch | Mini-batch | Base Learning |
| | | (hh:mm:ss) | RMSE | Loss | Rate |
|======================================================================|
| 1 | 1 | 00:00:01 | 65.11 | 2119.5 | 0.0100 |
| 5 | 50 | 00:00:04 | NaN | NaN | 0.0100 |
| 9 | 100 | 00:00:06 | NaN | NaN | 0.0100 |
| 13 | 150 | 00:00:07 | NaN | NaN | 0.0100 |
| 17 | 200 | 00:00:09 | NaN | NaN | 0.0100 |
| 20 | 240 | 00:00:15 | NaN | NaN | 0.0100 |
|=======================================================================|
I'd be super happy if anyone had some suggestions to solve that issue!
I already tried looping over the single short iterations - which let to endlessly poping up windows and a server crash.

请先登录，再回答此问题。

回答（0 个）

类别

在 Help Center 和 File Exchange 中查找有关 Image Data Workflows 的更多信息

标签

产品


版本

R2018b

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by