LSTM Model Accuracy Enhancement and include clustering algorithm
Budget: $30 – $250 USD
I'm seeking an expert to enhance the accuracy of my LSTM deep learning model. The model currently processes time-series data, and my primary goal is to improve its prediction accuracy.
Key Requirements:
- You should review and refine an already developed script that I will provide.
- You need to implement advanced techniques to boost model performance, such as hyperparameter tuning, regularization methods, or using more sophisticated architectures.
Ideal Skills and Experience:
- Proven experience with LSTM models and time-series data.
- Strong background in deep learning and model optimization.
- Proficiency in Python and relevant libraries (e.g., TensorFlow, Keras, PyTorch).
- Ability to interpret model metrics and make data-driven improvements.
Please share your approach and relevant experience in your bids.
Key Requirements:
- You should review and refine an already developed script that I will provide.
- You need to implement advanced techniques to boost model performance, such as hyperparameter tuning, regularization methods, or using more sophisticated architectures.
Ideal Skills and Experience:
- Proven experience with LSTM models and time-series data.
- Strong background in deep learning and model optimization.
- Proficiency in Python and relevant libraries (e.g., TensorFlow, Keras, PyTorch).
- Ability to interpret model metrics and make data-driven improvements.
Please share your approach and relevant experience in your bids.