# ForwardDiffSensitivity Faster than Adjoint Methods

**URL:** <https://discourse.julialang.org/t/forwarddiffsensitivity-faster-than-adjoint-methods/102652>\
**Category:** General Usage\
**Created:** [August 9, 2023, 8:54pm UTC](https://discourse.julialang.org/t/forwarddiffsensitivity-faster-than-adjoint-methods/102652 "2023-08-09T20:54:08Z")\
**Posts on this page:** 1\
**Showing post:** 8

<div class="post-metadata">

**Author:** ![ChrisRackauckas](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/chrisrackauckas/32/77_2.png) [@ChrisRackauckas](https://discourse.julialang.org/u/ChrisRackauckas)\
**Post date:** [August 10, 2023, 4:08pm UTC](https://discourse.julialang.org/t/forwarddiffsensitivity-faster-than-adjoint-methods/102652/8 "2023-08-10T16:08:30Z")

</div>

Reading your other post, I think you sent the flamegraph from this model [Composing a Neural ODE with another Neural Network](https://discourse.julialang.org/t/composing-a-neural-ode-with-another-neural-network/102682)

---

_[View the full topic](https://discourse.julialang.org/t/forwarddiffsensitivity-faster-than-adjoint-methods/102652)._