SidharthIntroduction to AutoencodersAutoencoders are a type of neural network designed to learn an efficient representation of input data in an unsupervised manner. These…May 25May 25
SidharthKAN: Kolmogorov–Arnold NetworksToday, we will discuss something fascinating, three days before a paper released named KAN: Kolmogorov–Arnold Networks.May 4May 4
SidharthThe BackpropagationHave you ever wondered how neural networks learn? Do you know how they adapt their weights and biases to generate accurate predictions from…May 3May 3
SidharthMulti-Layer PerceptronsMulti-layer perceptrons(MLPs) are a type of artificial neural network that can learn to perform complex tasks by analyzing data and…May 3May 3
SidharthBayesian Regression with Hamiltonian Monte CarloRegression analysis is a workhorse of statistics. Business analysts predict sales trends, social scientists model human behavior, and…Feb 18Feb 18
SidharthIntroduction to Gamma-Ray Data Analysis with GammaPy (Part-1)Ever wondered how scientists unravel the secrets of the universe? Picture yourself as a cosmic detective, equipped not with a magnifying…Dec 26, 2023Dec 26, 2023
SidharthSWGO Layout optimizationDid you know outer space holds secrets like exploding stars, black hole jets, and interactions that create gamma rays? Like supercharged…Dec 26, 2023Dec 26, 2023