# Is this true? Are QC amp models "deep" captures?

**URL:** <https://unity.neuraldsp.com/t/is-this-true-are-qc-amp-models-deep-captures/7534>\
**Category:** Quad Cortex\
**Tags:** quad-cortex\
**Created:** [July 3, 2022, 3:13pm UTC](https://unity.neuraldsp.com/t/is-this-true-are-qc-amp-models-deep-captures/7534 "2022-07-03T15:13:21Z")\
**Posts on this page:** 1\
**Showing post:** 12

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**Author:** ![jamsden](https://sea2.discourse-cdn.com/flex020/user_avatar/unity.neuraldsp.com/jamsden/32/1607_2.png) [@jamsden](https://unity.neuraldsp.com/u/jamsden)\
**Post date:** [July 8, 2022, 11:30pm UTC](https://unity.neuraldsp.com/t/is-this-true-are-qc-amp-models-deep-captures/7534/12 "2022-07-08T23:30:59Z")

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I think what Neural DSP has done that is different is include amp knob positions, controlled by ‘robots’ into the machine learning training sets, along with the resulting sound inputs and outputs. This allows the machine learning to also included the amp’s controls and their interactions in its generated model. The results seem quite good and I’m looking forward to where Quad Cortex goes from here.

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