# Evaluate performance while training

**URL:** <https://community.konduit.ai/t/evaluate-performance-while-training/58>\
**Category:** Tuning Help\
**Created:** [January 6, 2020, 2:51am UTC](https://community.konduit.ai/t/evaluate-performance-while-training/58 "2020-01-06T02:51:58Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![diane](https://avatars.discourse-cdn.com/v4/letter/d/2acd7d/32.png) [@diane](https://community.konduit.ai/u/diane)\
**Post date:** [January 6, 2020, 2:51am UTC](https://community.konduit.ai/t/evaluate-performance-while-training/58/1 "2020-01-06T02:51:58Z")

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How can I evaluate the performance of my network while training?

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**Author:** ![AlexBlack](https://yyz1.discourse-cdn.com/flex035/user_avatar/community.konduit.ai/alexblack/32/25_2.png) [@AlexBlack](https://community.konduit.ai/u/AlexBlack)\
**Post date:** [January 20, 2020, 1:56am UTC](https://community.konduit.ai/t/evaluate-performance-while-training/58/2 "2020-01-20T01:56:59Z")

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There’s 2 ways to do this.  
(1) Use MultiLayerNetwork/ComputationGraph.evaluate and similar methods  
(2) Use EvaluativeListener - [deeplearning4j/EvaluativeListener.java at master · eclipse/deeplearning4j · GitHub](https://github.com/eclipse/deeplearning4j/blob/master/deeplearning4j/deeplearning4j-nn/src/main/java/org/deeplearning4j/optimize/listeners/EvaluativeListener.java)

You can find more details on evaluation here - [https://deeplearning4j.org/docs/latest/deeplearning4j-nn-evaluation](https://deeplearning4j.org/docs/latest/deeplearning4j-nn-evaluation)