Machine Learning and Classification for QA
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Hi everyone.
I just started looking into machine learning and classification. For a small project I have different grayscale images showing different shapes that are formed by a collimator. I know want to evaluate how accurate the collimator forms the shapes (allowed tolerance is +-2mm). My idea was to train my model what is in the spects and what is not.
As mentioned, I have just started reading about machine learning, and I don't know where to start. How should my classifiers or training data look like, and which machine learning approach should I choose?
Thanks in advance for any advice!
Kind regards,
Mike
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Antworten (2)
Image Analyst
am 26 Jun. 2018
Have you taken the online Deep Learning on-ramp the Mathworks web site offers? That's where I'd start.
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MikeSv
am 27 Jun. 2018
Hi and thanks for the great advice.
I wasn't aware of this tutorial! Seems like a good starting point. :-)
Regards,
Michael
vijayabharathi K
am 20 Jun. 2020
TASKUse the transform function to create a transformed datastore called preprocds. This datastore should apply the scale function to the data referenced by letterds.
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Image Analyst
am 20 Jun. 2020
Bearbeitet: Image Analyst
am 20 Jun. 2020
How is this an answer to Mike's two year old question? I think you posted this as an Answer when it should have been posted as a new question after you've read the guidelines on the asking form page.
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