Understanding the Softmax Function: A Guide for Beginners
The softmax activation function is a popular function used in neural networks for classification tasks. It is useful because it converts a v...
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Introduction to Layered Depth Images for Cellular Segmentation
In computer vision, a layered depth image (LDI) is a representation of a three-dimensional (3D) scene that captures both the color and dept...
A Beginner's Guide to PyTorch's nn.Sequential for Neural Network Architecture Design
We can create the deep neural network, convolutional neural network, and other neural networks using the Pytorch library, torch.nn. First, l...
The guide to Python's lambda Expressions; The What, Why, and How
In Python, a lambda function is a small anonymous function that can take any number of arguments but can only have one expression. The expre...
Understanding Color Models: HSV, HSL, HSB, and More
HSV, HSL, and HSB are all color models that provide a way to represent colors in three dimensions, but they differ in how they represent th...
Methods of Cellular Segmentation Methods for Medical Imaging
Cellular segmentation is the process of identifying and delineating individual cells in an image or a series of images. It is an important t...
Demystifying End-to-End Models: How They Work and Why They Matter
image by: katalon An end-to-end model is a type of machine learning model that learns to perform a task directly from input data to output...
How the Levenshtein Distance Can Improve Your Spelling Correction System
◼︎ Levenshtein distance Introduction Levenshtein Distance, also known as Edit Distance, is a metric used to measure the difference between t...