# Gaussian Processes and Infinite Neural Networks with Julia

**URL:** <https://discourse.julialang.org/t/gaussian-processes-and-infinite-neural-networks-with-julia/79677>\
**Category:** Statistics\
**Created:** [April 19, 2022, 10:31am UTC](https://discourse.julialang.org/t/gaussian-processes-and-infinite-neural-networks-with-julia/79677 "2022-04-19T10:31:51Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![bonevbs](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/bonevbs/32/24029_2.png) [@bonevbs](https://discourse.julialang.org/u/bonevbs)\
**Post date:** [April 19, 2022, 10:31am UTC](https://discourse.julialang.org/t/gaussian-processes-and-infinite-neural-networks-with-julia/79677/1 "2022-04-19T10:31:52Z")

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I recently wanted to explore the connection between GPs and Infinite Neural Networks and took this as an excuse to become familiar with the Distributions package and Flux.jl. I thought others here might find this interesting and wanted to share:

[A visual exploration of Gaussian Processes and Infinite Neural Networks - Boris Bonev (bonevbs.github.io)](https://bonevbs.github.io/posts/gaussian-processes/)

Apologies if sharing own articles is discouraged here.