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| Dear John, I encourage you to make your own separated post about your new ideas. If I could suggest, my original post lacked images to display, better examples, and such. I frankly, don't remember much about this problem and over the years I... |
| You have a physical equation that needs temperature in Kelvin to some power $n$ and you want to convert this equation to one in Celcius or even Fahrenheit for ease of computation. You might do the following. $y= (T[K])^n = (T[^oC] - 273.15[^oC]... |
| I recently started again to train blind chess. But the apps on the Play Store for it didn't cut for me. With Mathematica, I would be able to program very quickly a `GUI`, and presto! ![guess][1] ![stats][2] Things for a future post: 1.... |
| Is there a way to use residual NN in Mathematica that is built-in that I'm missing? Looking at how Mathematica implements residual nets in the NetModel, it is just a NetGraph. Hence I propose a simple code for residual Nets in Mathematica which can... |
| Very interestingly Mathematica 12.0 now has some cool shorthand notations for some functions. A good example is `ReverseSortBy`. Almost a year ago I suggest some [shorthands][1] like that if anyone is interested. One that I find myself using quite... |
| MIT's [MPB](https://mpb.readthedocs.io/en/latest/) and [MEEP](https://meep.readthedocs.io/en/latest/) programs have a very interesting function called **interpolate** (and a variant **kinterpolate-uniform**), which basically creates points between a... |
| Indeed Sam, your point is valid. My approach was a probabilistic one. Get the probability of the previous input being 1. For this I need to generate all possible outputs and get the mean, this would be the probability. This way we could get a... |
| # Trigonometry and Calculator WordFrequencyPlot[{"trigonometry", "calculator"}] ![enter image description here][1] It's a pretty well-know fact and self-evident that calculators have ruined trigonometry. # Smartphone, iPhone, Apple,... |
| One of the main reasons why this approach works well with CA (the collapsing of all spatial information) is because there is an deep underline structure with CA, each cell is locally dependent on the cells above. So, in a sense, the convolution is... |
| Thank you, Vitaliy. It's always so nice to see our code being rewritten in another form (in a far more understandable way, I might add). I might read the doc about `ResourceSearch` again and try to use it more in the future. `PlotTheme ->... |