The neural net “employs a feedforward neural network with a precisely calibrated 4-60-12 architecture and sigmoid activation functions.” This leads to an approximate 85% accuracy being able to ...

In this paper, we propose a versatile graph inference framework for learning from graph signals corrupted by exponential family noise. Our framework generalizes previous methods from continuous smooth ...

The generation of an exponential function is required to attain a high dynamic control range and a dB-linear operation in AGC applications. In such applications, a DSP is usually an inherent part of ...

The Derivative as a Tool to Investigate Functions The Exponential and Logarithmic Functions Trigonometric Functions and Their Inverses Investigating Functions Integrating Functions Rules for ...

RezSat / Derivative-Calculator Public forked from dodokek/Derivative-Calculator 0 Star A library which calculates derivatives of any function, moreover, it is capable of writing step by step ...

A graphing calculator written for the final project for my Object Oriented Programming course. It's capable of working with rational complex numbers.