tf-keras-vis
Neural network visualization toolkit for tf.keras
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Download Latest Version (.zip)- conda_build_config.yaml
- meta.yaml
- python-package-cron.yml
- python-package-TF2.17.yml
- python-package-TF2.5.yml
- python-package.yml
- python-publish.yml
- sphinx-publish.yml
- cpu.Dockerfile
- gpu.Dockerfile
- tf_keras_vis.activation_maximization.callbacks.md
- tf_keras_vis.activation_maximization.input_modifiers.md
- tf_keras_vis.activation_maximization.md
- tf_keras_vis.activation_maximization.regularizers.md
- tf_keras_vis.gradcam.md
- tf_keras_vis.gradcam_plus_plus.md
- tf_keras_vis.layercam.md
- tf_keras_vis.md
- tf_keras_vis.saliency.md
- tf_keras_vis.scorecam.md
- tf_keras_vis.utils.md
- tf_keras_vis.utils.model_modifiers.md
- tf_keras_vis.utils.scores.md
- activation_maximization.0.gif
- bear.jpg
- faster-scorecam.png
- goldfish.jpg
- gradcam.png
- gradcam_plus_plus.png
- input-images.png
- layercam.png
- scorecam.png
- smoothgrad.png
- soldiers.jpg
- vanilla-saliency.png
- visualize-dense-layer.png
- visualize-filters.png
- attentions.ipynb
- index.md
- visualize_conv_filters.ipynb
- visualize_dense_layer.ipynb
- conf.py
- images
- index.md
- license.md
- Makefile
- quick-start.md
- attentions.ipynb
- images
- README.md
- visualize_conv_filters.ipynb
- visualize_dense_layer.ipynb
- __init__.py
- activation_maximization_test.py
- callbacks_test.py
- input_modifiers_test.py
- __init__.py
- model_modifiers_test.py
- scores_test.py
- utils_test.py
- __init__.py
- attentions_test.py
- conftest.py
- gradcam_plus_plus_test.py
- gradcam_test.py
- saliency_test.py
- scorecam_test.py
- tf_keras_vis_test.py
- __init__.py
- __init__.py
- callbacks.py
- input_modifiers.py
- regularizers.py
- __init__.py
- callbacks.py
- input_modifiers.py
- losses.py
- model_modifiers.py
- regularizers.py
- scores.py
- test.py
- __init__.py
- gradcam.py
- gradcam_plus_plus.py
- layercam.py
- saliency.py
- scorecam.py
- .gitignore
- CITATION.cff
- LICENSE
- MANIFEST.in
- README.md
- setup.cfg
- setup.py
- VERSION
# Installation Guide
1. Get the code
git clone https://github.com/keisen/tf-keras-vis
Downloads the entire project code from GitHub to your computer.
cd tf-keras-vis
Moves into the project folder you just downloaded.
2. Python
Easy RecommendedPrerequisites
$ pip install tf-keras-vis tensorflow
Installs the Python libraries listed in requirements.txt (or similar).
$ pip install -e .[develop] tensorflow
Installs the Python libraries listed in requirements.txt (or similar).
If it runs without errors and prints output in the terminal, it worked.
Pulled directly from this repo's README.
// repository documentation
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