lucasdavid/keras-explainable
Efficient explaining AI algorithms for Keras models
This tool helps AI developers understand why their Keras deep learning models make specific predictions, especially for image recognition tasks. It takes a trained Keras model and an input image, then generates visual heatmaps that highlight which parts of the image the model focused on when making its decision. AI developers and researchers can use this to debug models, build trust in their AI systems, or improve model performance by identifying problematic features.
No commits in the last 6 months.
Use this if you are a machine learning engineer or researcher working with Keras models and need to interpret or visualize the internal decision-making process of your deep learning networks, especially for image-based tasks.
Not ideal if you are looking for explanations for non-Keras models, non-image data (like text or tabular data), or if you are not comfortable working with Python code.
Stars
15
Forks
2
Language
Python
License
Apache-2.0
Last pushed
Nov 30, 2022
Commits (30d)
0
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