# Understanding transform.Normalize( )

**URL:** <https://discuss.pytorch.org/t/understanding-transform-normalize/21730>\
**Category:** vision\
**Created:** [July 25, 2018, 11:09pm UTC](https://discuss.pytorch.org/t/understanding-transform-normalize/21730 "2018-07-25T23:09:50Z")\
**Posts on this page:** 1\
**Showing post:** 32

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**Author:** ![Rishi](https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/rishi/32/27193_2.png) [@Rishi](https://discuss.pytorch.org/u/Rishi)\
**Post date:** [July 28, 2020, 1:52am UTC](https://discuss.pytorch.org/t/understanding-transform-normalize/21730/32 "2020-07-28T01:52:01Z")

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See here the answer by Sowmith himself. I hope thats what your are looking for [Normalization in the mnist example](https://discuss.pytorch.org/t/normalization-in-the-mnist-example/457/7)

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