I wanted to start a broader mistakes and lessons thread around Neural Networks.
A useful angle is best workflow, but it also connects with cost control. 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.
A useful angle is best workflow, but it also connects with cost control. 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.