Convolutional Neural Networks (CNNs): Detailed Explanation Convolutional Neural Networks (CNNs) are a class of deep neural networks specifically designed to work with grid-like data, such as images, audio, and video…..
Forward and Backpropagation in Neural Networks: Detailed Explanation Forward and backward propagation are two key steps in the training process of a neural network. These steps are fundamental to how….
Self-Organizing Maps (SOMs): Detailed Explanation Self-Organizing Maps (SOMs), also known as Kohonen maps, are a type of unsupervised neural network developed by Teuvo Kohonen in the 1980s. SOMs are primarily….
Anomaly Detection – A Comprehensive Guide 1. Introduction to Anomaly Detection Anomaly Detection is the process of identifying rare or unusual patterns in data that do not conform to expected….
Hierarchical Clustering: A Comprehensive Guide 1. Introduction to Hierarchical Clustering Hierarchical Clustering is an unsupervised machine learning algorithm used to group similar objects into clusters. Unlike K-Means, it does not….
