# DeepLearning Visualization / interpretation methods

**URL:** <https://discourse.julialang.org/t/deeplearning-visualization-interpretation-methods/78334>\
**Category:** Machine Learning\
**Tags:** question, flux, zygote\
**Created:** [March 23, 2022, 2:26pm UTC](https://discourse.julialang.org/t/deeplearning-visualization-interpretation-methods/78334 "2022-03-23T14:26:13Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![lgmendes](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/lgmendes/32/34577_2.png) [@lgmendes](https://discourse.julialang.org/u/lgmendes)\
**Post date:** [March 23, 2022, 2:26pm UTC](https://discourse.julialang.org/t/deeplearning-visualization-interpretation-methods/78334/1 "2022-03-23T14:26:13Z")

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Hi,

Does anyone know if there is any implementation of GradCam and or other Visualization techniques of DeepLearning models? I found an old package that does not work with the Flux+Zygote ( [https://github.com/avik-pal/CNNVisualize.jl](https://github.com/avik-pal/CNNVisualize.jl) )

Thank you