Deep Learning -Sequence Input Regression Output does not train correctly
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My deeplearning network design (Which was the recommended design in mathworks for sequence input and regression output) provides the following results. The training time takes seconds. Prior to this I was using the same data on a multi level deeplearning network desing based on matrix calculations, that time the training was taking days. Where I am doing wrong?
|========================================================================================|
| Epoch | Iteration | Time Elapsed | Mini-batch | Mini-batch | Base Learning |
| | | (hh:mm:ss) | RMSE | Loss | Rate |
|========================================================================================|
| 1 | 1 | 00:00:01 | 0.59 | 0.2 | 0.0100 |
| 50 | 50 | 00:00:04 | NaN | NaN | 0.0100 |
| 100 | 100 | 00:00:07 | NaN | NaN | 0.0100 |
| 150 | 150 | 00:00:10 | NaN | NaN | 0.0100 |
| 200 | 200 | 00:00:13 | NaN | NaN | 0.0100 |
| 250 | 250 | 00:00:16 | NaN | NaN | 0.0100 |
| 300 | 300 | 00:00:19 | NaN | NaN | 0.0100 |
| 350 | 350 | 00:00:23 | NaN | NaN | 0.0100 |
| 400 | 400 | 00:00:26 | NaN | NaN | 0.0100 |
|========================================================================================|
>> Train_Network_From_Designer
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2019-5-16
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2021-8-20
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