# Ensemble two features

**URL:** <https://discuss.pytorch.org/t/ensemble-two-features/138620>\
**Category:** vision\
**Created:** [December 6, 2021, 4:50am UTC](https://discuss.pytorch.org/t/ensemble-two-features/138620 "2021-12-06T04:50:45Z")\
**Posts on this page:** 1\
**Showing post:** 2

<div class="post-metadata">

**Author:** ![ptrblck](https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/ptrblck/32/1823_2.png) [@ptrblck](https://discuss.pytorch.org/u/ptrblck)\
**Post date:** [December 6, 2021, 7:22am UTC](https://discuss.pytorch.org/t/ensemble-two-features/138620/2 "2021-12-06T07:22:17Z")

</div>

You could replace the last linear layers with `nn.Identity` modules and create the ensemble as described in [this post](https://discuss.pytorch.org/t/custom-ensemble-approach/52024/4).

---

_[View the full topic](https://discuss.pytorch.org/t/ensemble-two-features/138620)._
