What's mean of tuning the parameters in the dev set

Course Q&A Deep Learning Specialization Structuring Machine Learning Projects
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Excuse me？I do not understand the meaning of tuning the parameters in the dev set,Did I use the training set to train a model with different parameters and run it on the dev set to find the one with the smallest error?I want to know the specific process of using devset to adjust parameters?Thank you

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You choose initially the hyperparameters and train the model on train set, then you test the performance of the trained model on the dev set. If the performance is not satisfactory then you go change the hyperparameters and fit the model again on train set, then test again on dev set, until desired performance is achieved.

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Hi, @1004271927!

This is a duplicate of this post. Check it out for solutions.