# NN Activation Functions with Plotly Dash

**URL:** <https://discourse.julialang.org/t/nn-activation-functions-with-plotly-dash/69992>\
**Category:** Visualization\
**Tags:** plotting, webapps, gui, dash\
**Created:** [October 18, 2021, 5:44pm UTC](https://discourse.julialang.org/t/nn-activation-functions-with-plotly-dash/69992 "2021-10-18T17:44:35Z")\
**Posts on this page:** 1\
**Page:** 1

<div class="post-metadata">

**Author:** ![cepel](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/cepel/32/30275_2.png) [@cepel](https://discourse.julialang.org/u/cepel)\
**Post date:** [October 18, 2021, 5:44pm UTC](https://discourse.julialang.org/t/nn-activation-functions-with-plotly-dash/69992/1 "2021-10-18T17:44:35Z")

</div>

Hey everyone!

I developed a Dash Julia application for visualizing activation functions in neural networks. You can select multiple activation functions and compare on a line chart. Feel free to review the codes on GitHub and ask me anything.

**[Live on Heroku](https://dash-activation-functions.herokuapp.com/)** ← Click Here  
**[GitHub](https://github.com/tolgahancepel/dash-julia-applications/tree/main/activation-functions)** ← Click Here

 ![dash-activation-functions](https://global.discourse-cdn.com/julialang/original/3X/9/c/9cc241738c613e71879f87bb62abe15df6087d27.png)

Please use [-10 to 10] range for Sigmoid, Hyperbolic Tangent and Rectifier(Softplus).

I look forward to your feedback and hope this application is helpful for the community.

Thank you! 🙂