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A practical understanding of Neural Networks starts with knowing what the system does well, where it is unreliable, and how to validate the result. One important area is productivity. Define what a good result looks like before changing tools or settings, then test one variable at a time so you...

I think website and builders is the key part of this topic. A practical approach is to define the outcome you want, test it with a small example, and then check quality, speed and reliability separately. That way you can improve the workflow without losing track of what caused the improvement.