v0.3.1

What's Changed

• Ensure that input tensors are watched in Grad-CAM by @craymichael in #167
• Update usage.rst by @andife in #170
• Add TensorFlow versions 2.5 and 2.6 in CI by @RaphaelMeudec in #175

New Contributors

• @craymichael made their first contribution in #167
• @andife made their first contribution in #170

Full Changelog: v0.3.0...v0.3.1

v0.3.0

Release includes:

• Migration from TravisCI to Github Actions
• Compatibility with TensorFlow 2.3 and 2.4
• Fix in Vanilla Gradients computation (use raw scores instead of softmax outputs)
• Let user choose between opencv versions

v0.2.1

In this release:

• Checked against TensorFlow 2.1.0
• image_weight parameter added to GradCAM to better handle visualizations
• Grids of attribution maps are now normalized image by image instead of the whole grid
• bugfix : reshape of non-square visualization by @jpsimen

v0.2.0

In this release:

• Gradients*Inputs algorithm by @ywolff
• Add layer detection for Grad CAM (last convolutional output) to ease user experience with this method
• Better handling of image output ([0, 1], [-1, 1] & [0 255])
• Notebooks

v0.1.0

In this release:

• TensorFlow 2.0.0 compatibility
• Add Vanilla Gradients implementation
• Add Integrated Gradients implementation
• Take Viridis as default colormap

Thanks to @ywolff for the contributions in this release.

v0.0.2-alpha

In this release:

• Add SmoothGrad implementation
• Improve computation time with tf.function decorator
• Tensorboard integration
• Docstring & Testing improvements

v0.0.1-alpha

First version of the package, with 2 different APIs:

• a core API to use on loaded models, outside of training
• a callback API to use inside .fit and .fit_generator methods

Available methods in this release are:

• Activations Visualization
• Occlusion Sensitivity
• Grad CAM