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I too think they're gorgeous. They're by Mark Ferrari, you can find more here[0].

[0] http://www.effectgames.com/demos/canvascycle/


8 Bit & '8 Bitish' Graphics-Outside the Box

https://www.youtube.com/watch?v=aMcJ1Jvtef0

> In this GDC 2016 talk, Terrible Toybox's Mark Ferrari discusses and demonstrate some of his techniques for drawing 8 bit game graphics, including his celebrated methods for use of color cycling and pallet shifting to create complex and realistic background animation effects without frame-animation

The lost art of color cycling - Animating with color

https://www.youtube.com/watch?v=LUbrzg21X9c

> Color cycling was born out of hardware restrictions but out of it came some beautiful artworks that characterized the 80s and 90s. In this video we will learn more about how this effect was produced and experience first hand the beautiful artwork created with it.


amazing, i love interesting rabbit-holes into the past initiated by engaging with HN :D immediately put them on watch later.


oah, thanks a lot! love his artstyle, gotta look him up :)

not sure what about his animations captures my eyes, but i think he makes great use of 2D depth perception and color palettes.


Really neat visualization! And thanks for the tip on MCC.

Out of curiosity I plugged it to the same visualization (performance vs. class weight when optimized with BCE) and it behaves similar to F1, i.e. best without weighting.


Yeah it gets tricky. I think eventually it has to be about tradeoffs - no ML system can be 100% correct. I do think there's a "right" decision (up to a point) in the context of the product or business.


A fully connected layer has different weights for each feature (or position in input in your formulation). So the word "hello" would be treated completely differently if it were to appear in position 15 vs. 16, for example.

Attention, by contrast, would treat those two occurrences similarly, with the only difference depending on positional encoding - so you can learn generalized patterns more easily.


I think that this is the explanation I needed, thanks!


If the questions were pre-determined, which they're usually not. Reminds me of Huffman coding and the reason that compression challenges measure submissions looking at artifacts required to run them in addition to compressed size. I tend to agree with OP that this doesn't pass the smell test


Thanks!


Preparing my PyCon IL workshop, a competitive platform where you write code to solve simple games (think snake, pong etc.). Here are some screenshots: https://imgur.com/a/VDKfmjO

After it's done I hope to add a demo to my blog.

Cheers for all the interesting work going on here!



SEEKING WORK | Machine learning / Data science / Fun UI / funky algorithmic stuff | Remote (Israel)

Machine learning engineer with strong software dev background. Excited about:

* Algorithms and optimizations

* Computer vision

* Translating experts’ domain knowledge and intuition into concrete methods and metrics

* Finding patterns in behavior

* Creating interactive visualizations to explore complex data and interactions

https://andersource.dev/ | daniel@andersource.dev


I can imagine it's a bit like if gravity suddenly changed to 0.9g. Everything(?) is easier but a lot of people would probably stumble around a bit before muscle memory, coordination etc. get used to the change.


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