raghakot/keras-vis
Neural network visualization toolkit for keras
This toolkit helps machine learning engineers and researchers understand how image classification neural networks 'think.' It takes a trained Keras model and produces visual maps and images that show which parts of an input image the network focuses on, or what kind of patterns activate specific parts of the network. This helps to debug models, assess their performance, and gain insights into their decision-making process.
2,997 stars. No commits in the last 6 months. Available on PyPI.
Use this if you need to visualize the inner workings of your Keras-trained image classification models to diagnose issues, improve performance, or explain predictions.
Not ideal if your models are not Keras-based, or if you are working with non-image data.
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2,997
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645
Language
Python
License
MIT
Category
Last pushed
Feb 07, 2022
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0
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5
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