It seems like the author has realised that there are a few common functional programming patterns (folds, maps) that are also common ways of combining information and operating on data structures, and seen the parallel to some operations that we frequently want to do within neural networks. A 'function' is simply a thing that takes another thing and produces a third thing. This doesn't seem that revolutionary or insightful - do these ideas give us any extra knowledge about neural networks or is this just a nice parallel?
I've updated it with quad, cubic and sinusoidal modes. They all look good. Only problem is that because it's no longer linear, the various points can change at different rates and thus create 'kinks' in the curve. When it's linear, the 'line points' and the associated 'control points' are always in a line locally tangential to the curve (don't know the proper terminology but hopefully you understand).
Hi all, I'm the author.
Thanks for all the feedback - really good to hear you like the clock. I've added some more animation easings as per your suggestions.
To clarify: when continual animation is off, each digit only animates for a specified amount of time. I set this at 20 seconds for all but the 'seconds' digits, which animate continually. I thought this looked cooler and they're inessential to reading the time.
I'll try and port it to Apple watch / Android wear when they release their proper watch face SDKs.