# Likelihood Approximations with Neural Networks in PyMC

**URL:** <https://discourse.pymc.io/t/likelihood-approximations-with-neural-networks-in-pymc/11917>\
**Category:** Sharing\
**Created:** [April 17, 2023, 4:57pm UTC](https://discourse.pymc.io/t/likelihood-approximations-with-neural-networks-in-pymc/11917 "2023-04-17T16:57:09Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![ricardoV94](https://yyz2.discourse-cdn.com/flex036/user_avatar/discourse.pymc.io/ricardov94/32/5775_2.png) [@ricardoV94](https://discourse.pymc.io/u/ricardoV94)\
**Post date:** [April 17, 2023, 4:57pm UTC](https://discourse.pymc.io/t/likelihood-approximations-with-neural-networks-in-pymc/11917/1 "2023-04-17T16:57:09Z")

</div>

> **[Likelihood Approximations with Neural Networks in PyMC - PyMC Labs](https://www.pymc-labs.io/blog-posts/likelihood-approximations-through-neural-networks/)**
>
> We use an example from cognitive modeling to show how differentiable likelihoods learned from simulators can be used with PyMC.