Explainable AI (XAI) Hybrid CNN-LSTM with Attention
Jan 1, 2023
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1 min read
🔬 Project Overview
The primary purpose of this script is to build, train, evaluate, and explain a hybrid deep learning model for a classification task. The model combines Convolutional Neural Networks (CNNs), Long Short-Term Memory networks (LSTMs), and an Attention mechanism.
⚙️ Technical Details
- SHAP (SHapley Additive exPlanations) Analysis
- Grad-CAM (Gradient-weighted Class Activation Mapping)
- Attention Weights Visualization
(For full source code, pin configurations, and implementation details, please view the GitHub repository using the button above).
