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Modified LSTM Model (2 - Layers) with Dropout Layer to Improve Sequence Processing #98

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deepanshubaghel
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@deepanshubaghel deepanshubaghel commented Oct 8, 2024

I have added 2 - layer LSTM model (model10) to enhance sequence processing in the project. The model includes the following layers:

LSTM Layer with 300 units and return_sequences=True.
Dropout Layer with a rate of 0.4 to prevent overfitting.
Second LSTM Layer with 160 units and return_sequences=False for final sequence output.
Dense Layer with 50 units.
Final Dense Layer with 1 unit for output.

closes #91

@rohitinu6 or @jvedsaqib can you plz check the file and merge it?

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Ensure the PR matches the requirements mentioned in the Contribution guide. The maintainer might get in touch to enusre quality. Thanks for your time

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Looks good to me. @rohitinu6 Please check for the technical details ones.

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@jvedsaqib @rohitinu6 please review it

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@rohitinu6 is there any issue i didnt get it

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@deepanshubaghel
You are deleting the notebook and creating a new notebook
Does it contain all necessary code?

@jvedsaqib jvedsaqib added the level2 25 Points 🥈 label Oct 13, 2024
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@jvedsaqib @rohitinu6 please review it

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Enhance LSTM Model with Multiple LSTM and Dense Layers
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