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I wanted to start a broader mistakes and lessons thread around Deep Learning. A useful angle is beginner tips, but it also connects with customisation. Different tools and workflows can produce very different results even when the goal is similar. It would be interesting to compare practical...

A useful way to look at Beginner tutorial: using future improvements for Pika is to focus first on step and future. That tends to make the trade-offs easier to compare. That way you can improve the workflow without losing track of what caused the improvement.