User Portlet User Portlet

Sangdon Lee
Discussions
Per your interest on predicting probabilities, you can compute the probabilities for classification, by using the "net3" and the "trainedNet3" which use the SoftmaxLayer and the output as a string (e.g., "1", not 1.0. {finalNet3[{9987, 13},...
This post might be useful. https://community.wolfram.com/groups/-/m/t/3093407 Examples from the following websites: https://www.johndcook.com/blog/2019/04/18/calling-python-from-mathematica/.
Thanks for this really excellent example. Minor correction in your code. The ("Time"->1) at the bottom of the "pde' net should be changed to ("Time" -> "Scalar") because of the input data: Take[data,5] {0. -> {970., 20., 0.}, 0.1 ->...
Boundary and initial conditions are inconsistent, and they are the usual suspect for warning messages. tMin = 0; tMax = 10; xMin = 0; xMax = 1; (*Solve the PDE*) sol = NDSolve[{ D[u[x, t], t] == 0.000051*D[u[x,...
Just out of curiosity, do we need some kind of precision control on numerical computation because I see the x[n] values are very close to zero (e.g., between 2.0x10^-18 and -1.5x10^-18)?
Thanks for the great analysis and information. The concept of dimensionality is really good to me. I would like to see PCA/FA/SEM with various rotation options in Mathematica. In general, PCA is a first step to understand the latent structure...
Several typing errors are removed. I used the ParametricNDSolve, rather than ParametricNDSolveValue. We = 0.4; alpha = 0.9; beta = 0.2; phi = 0.7; P = -1.3; Br = 0.1; K1 = We^2*(1 - alpha^2); K2 = phi*K1; system = { ...
You need to specify where to find Python: RegisterExternalEvaluator[ "Python", "C:\\bin\\Anaconda3\\python.EXE"] Register a Python-Numpy library: RegisterExternalEvaluator[ "Python-NumPy", ...
I used the following prompts : > Analyze the following Mathematica codes very carefully and create an artistic rendering of how the result would look like in 3D: ComplexPlot[ZTransform[n^2*UnitStep[n] - n^2*UnitStep[n - 10], n, z], ...
May be the "NCAlgebra" package? https://mathweb.ucsd.edu/~ncalg/ Section 4.7 from: https://mathweb.ucsd.edu/~ncalg/DOCUMENTATION/index.html#MostBasicCommands