NumPy

Python Equivalent to Matlab’s Bwdist: A Comprehensive Guide

Image Processing is one of the most crucial tasks when dealing with images. It typically means manipulating images like converting the original image to grayscale, computing distance maps, performing segmentation, etc. One such cumbersome task is finding the distance map or distance transformation between two different regions of an image which will be used to …

Python Equivalent to Matlab’s Bwdist: A Comprehensive Guide Read More »

Gauss-Legendre Quadrature in Python using NumPy

The approximate solution of complicated mathematical functions depends critically on numerical integration. Providing remarkably accurate results by carefully choosing nodes and weights, the Gauss-Legendre Quadrature method is a robust numerical integration method. Precise answers to a variety of integration problems will be revealed, and we will explore how we can put this approach into practice …

Gauss-Legendre Quadrature in Python using NumPy Read More »

What Is Bias And Variance In Python3?

Bias and variance re­present distinct concepts in the­ fields of Machine Learning and De­ep Learning. The primary obje­ctive when working with any machine le­arning model is to achieve accuracy. By striking a balance­ between the­se two sources of error(bias and variance), commonly known as the­ Bias-Variance tradeoff, we can e­nhance prediction accuracy. This article e­xplores …

What Is Bias And Variance In Python3? Read More »

What Is Cross Entropy In Python?

Cross entropy is a differentiative measure between two different types of probability. Cross entropy is a term that helps us find out the difference or the similar relation between two probabilities. There are two different types of distributions in any model i.e. The predicted probability distribution and the actual distribution, or true distribution. Cross entropy …

What Is Cross Entropy In Python? Read More »