I wanted to start a broader practical use cases thread around Neural Networks.
A useful angle is accessibility, but it also connects with quality versus speed. 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 accessibility, but it also connects with quality versus speed. 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.