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ExplainableAI v0.5.5
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CHANGELOG.md

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# ExplainableAI.jl
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## Version `v0.5.5`
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- ![Bugfix][badge-bugfix] Ignore bias in `WSquareRule`
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- ![Enhancement][badge-enhancement] Faster `FlatRule` on Dense layers ([#96][pr-96])
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- ![Enhancement][badge-enhancement] Faster `WSquareRule` on Dense layers ([#98][pr-98])
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- ![Maintenance][badge-maintenance] Update rule tests and references
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## Version `v0.5.4`
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This release brings bugfixes and usability features:
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- ![Feature][badge-feature] Add pretty printing of LRP analyzers, summarizing how layers and rules are matched up ([#89][pr-89])
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- ![Feature][badge-feature] Add LRP `ZPlusRule` ([#88][pr-88])
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- ![Enhancement][badge-enhancement] Export union-types of Flux layers for easy definition of LRP composites
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- ![Documentation][badge-docs] Improvements to docstrings and documentation
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- ![Maintenance][badge-maintenance] Add `test/Project.toml` with compat entries for test dependencies ([#87][pr-87])
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## Version `v0.5.2`
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This release temporarily adds ImageNet pre-processing utilities. This enables users users to apply XAI methods on pretrained vision models from Metalhead.jl. *Note that this functionality will be deprecated once matching functionality is in either Metalhead.jl or MLDatasets.jl.*
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[pr-89]: https://github.com/adrhill/ExplainableAI.jl/pull/89
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[pr-92]: https://github.com/adrhill/ExplainableAI.jl/pull/92
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[pr-93]: https://github.com/adrhill/ExplainableAI.jl/pull/93
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[pr-96]: https://github.com/adrhill/ExplainableAI.jl/pull/96
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[pr-98]: https://github.com/adrhill/ExplainableAI.jl/pull/98
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[flat-wsquare-commit]: https://github.com/adrhill/ExplainableAI.jl/commit/a6e2c59094fe4f1d4b744123de79407ccbd4b972
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Project.toml

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name = "ExplainableAI"
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uuid = "4f1bc3e1-d60d-4ed0-9367-9bdff9846d3b"
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authors = ["Adrian Hill"]
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version = "0.5.4"
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version = "0.5.5"
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[deps]
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ColorSchemes = "35d6a980-a343-548e-a6ea-1d62b119f2f4"

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