# Visualize Convolutional layer of Alexnet

**URL:** <https://discuss.pytorch.org/t/visualize-convolutional-layer-of-alexnet/80679>\
**Category:** vision\
**Created:** [May 11, 2020, 10:26am UTC](https://discuss.pytorch.org/t/visualize-convolutional-layer-of-alexnet/80679 "2020-05-11T10:26:43Z")\
**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:** [May 12, 2020, 6:11am UTC](https://discuss.pytorch.org/t/visualize-convolutional-layer-of-alexnet/80679/2 "2020-05-12T06:11:57Z")

</div>

You could use forward hooks to get the activation maps and visualize them as described [here](https://discuss.pytorch.org/t/visualize-feature-map/29597/2). The topic also includes another post to [visualize kernels](https://discuss.pytorch.org/t/visualize-feature-map/29597/4).

---

_[View the full topic](https://discuss.pytorch.org/t/visualize-convolutional-layer-of-alexnet/80679)._