# Activation values in ResNet

**URL:** <https://discuss.pytorch.org/t/activation-values-in-resnet/128029>\
**Category:** Uncategorized\
**Created:** [July 29, 2021, 10:21am UTC](https://discuss.pytorch.org/t/activation-values-in-resnet/128029 "2021-07-29T10:21:35Z")\
**Posts on this page:** 1\
**Showing post:** 2

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**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:** [July 30, 2021, 4:27am UTC](https://discuss.pytorch.org/t/activation-values-in-resnet/128029/2 "2021-07-30T04:27:02Z")

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You can use forward hooks as described [here](https://discuss.pytorch.org/t/how-can-l-load-my-best-model-as-a-feature-extractor-evaluator/17254/6) to get intermediate activations.

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