Abstract: Neural networks (NNs) are commonly used to approximate functions based on data samples, as they are a universal function approximator for a large class of functions. However, choosing a ...
Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...
Bob has been designing hardware and coding software for decades. He likes to draw and write. He’s a web cadet wannabe. Bob has been designing hardware and coding software for decades. He likes to draw ...
Abstract: In this paper we review and discuss digital circuit architectures implementing piecewise-affine (PWA) functions. These functions are defined over domains that are partitioned (either ...
ABSTRACT: In the author’s recent publications, a parametric system biorthogonal to the corresponding segment of the exponential Fourier system was unusually effective. On its basis, it was discovered ...
Git isn't hard to learn, and when you combine Git with GitLab, you've made it a whole lot easier to share code and manage a common Git commit history with the rest of your team. This tutorial shows ...
Generally, a piecewise function can take values of any type as an input and return numbers of any type as an output. However, in its current implementation numpy.piecewise forces the output type to be ...
‘Higher-order functions’ is a fancy term for functions that take other functions as arguments or that return functions. Very powerful! Last week, I casually dropped the term “higher-order function” ...
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