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Silvia Hao
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Here is the algorithm abstract from the blog: >1. Choose a cell at random, considering only the cells with the fewest possible values. >2. Choose a random value to lock in for that cell, considering only the possible values for that cell. >3....
OTOH, I just remember a new feature: [CompiledLayer][1] has got back-propagation ability, which sounds promising: ![back and forward passes of CompiledLayer][2] [1]: https://reference.wolfram.com/language/ref/CompiledLayer.html#1279696056 ...
Sometimes I read the manual and think "Wow, this doesn't make sense, not intuitive. Vectors *are* points?". But your explanation helped me fix the test case: obj = {Cos[#/50 Pi], Sin[#/50 Pi], 0} & /@ Range[110]; viewPt = 2 {1 + Sin[#/20...
Indeed! It should be very accurate :) I have not used it to actually order something :-)
It is now a [resource function][1] [1]: https://resources.wolframcloud.com/FunctionRepository/resources/SchmidtArrangements/
Excellent post! (And I would imagine that what you've shown would have implications for statistical sampling: completely random vs something a bit more structured in estimating quantities in landscapes from GIS images.) I do have one issue...
Thank you dear Raspi! And happy new year to you, too! :D
**SEARCH** has been added to the Wolfram Community. More functionality is coming in the next updates for search -- such as filtering, sorting and more.
Wow thank you very much! I'll definitely do my best for more interesting posts!
Hi Anshul! Did you have any chance tried TCNN? (That *Updating Name* was me on cloud glitch) I don't have much cardiac knowledge, but EEG as a 1 dimensional (quasi-)periodic signal, maybe it fits in some traditional analysis methods (Fourier,...