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| Discussions |
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| I personally find the JAX model compelling but I never seriously worked with it. I am courious: why you would not reccomend it's inclusion? Thanks! |
| It uses the biased estimator for the variance ``` x = {{1., 2., 3.}, {4., 5., 6.}, {7., 8., 9.}, {10., 11., 12.}, {13., 14., 15.}} xS01 = FeatureExtract[x, "StandardizedVector"]; xS02 = Standardize[x]; xS03 = Sqrt[Length[x]/(Length[x] -... |
| You can specify the point of origin of the axes. ``` Plot[Sin[x], {x, 0, 6 Pi}, AxesOrigin -> {6 Pi, 0}] ``` ![plot with y axis on the right side][1] [1]:... |
| It really depends on what you want your trainable parameters to be. For a model such as ``` a * Input1 * Input 2 + b * Input3 + c ``` you can use this network ``` FunctionLayer[ Function[ NetArray[]*#Input1*#Input2 +... |
| We have it in several places in the documentation. You can cite it from here for example: https://reference.wolfram.com/language/ref/FindClusters.html See the Cite As at the bottom of the page |
| This is not supported at the moment but it's on our todo list. |
| You have to pay attention to spaces ``` Select[NetExtract[lm, {"Output", "Labels"}], StringContainsQ["hitman", IgnoreCase -> True]] (* {" Whitman", " Hitman"} *) ``` The vocabulary token is `" Hitman"` with capital H and a space at the... |
| This is very nice and well put together! Thanks for sharing it with the community |
| Hi Ethan, to answer your questions 1. We are working on a stable diffusion model for the [net repository][1]. 2. Compression tools for models are nice but right now the core priority is to provide support for multiple framework in order to get... |
| Hello there! Tomorrow (16 November 2022) I am going to demo our Machine Learning functionality and the latest additions and developement directions. We'll look at the the full ML stack including a focus on the current efforts in model... |