LSTM TO STRING CATEGORICAL LABELS

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Ernest Modise - Kgamane
回答： Ernest Modise - Kgamane 2024-6-15
Hi Please help with with this code, there are two questions,
  1. Looks like my LSTM cannot achieve any better accuracy - what could be the cause?
  2. At the very end of the code, I wanted to to plot a confusion chart, - 1 - I used a for loop to capture the predicted labels from the trained network, is there a one line command for this type of data structure?
  3. Still on the confusion chart, what would be the best way to create the true labels set, I see the one I used in the function call for confusion chart is really incomplete, I am expecting the true labels set to be 40 x 5 matrix just like the test set.
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Ernest Modise - Kgamane
Ernest Modise - Kgamane 2024-6-14
Hi I managed to resolve the second part, I realized that I had not indexed my categorical lables properly on line 20 of the code.
I still want to know what the training can only achieve around 80 % accuracy. How can I improve this?

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采纳的回答

Ernest Modise - Kgamane
I realized that there was a problem in my data. I had some duplications, this has been sorted by cleaning my input file LSTMdataIn.xlsx
Training on single CPU.
|========================================================================================|
| Epoch | Iteration | Time Elapsed | Mini-batch | Mini-batch | Base Learning |
| | | (hh:mm:ss) | Accuracy | Loss | Rate |
|========================================================================================|
| 1 | 1 | 00:00:04 | 25.00% | 1.5810 | 0.5000 |
| 9 | 50 | 00:00:06 | 100.00% | 6.0340e-05 | 0.5000 |
| 10 | 60 | 00:00:07 | 100.00% | 4.7343e-05 | 0.5000 |
|========================================================================================|
Training finished: Max epochs completed.

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