I wanted to start a broader setup showcase thread around Neural Networks.
A useful angle is setup choices, but it also connects with integration. Different tools and workflows can produce very different results even when the goal is similar.
It would be interesting to compare practical examples, experiments, setups, or lessons that show where Neural Networks is genuinely useful and where it still needs improvement.
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A useful angle is setup choices, but it also connects with integration. Different tools and workflows can produce very different results even when the goal is similar.
It would be interesting to compare practical examples, experiments, setups, or lessons that show where Neural Networks is genuinely useful and where it still needs improvement.
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