Tag Learning

Backpropagation: The Backbone of Neural Network Learning

Backpropagation is not merely a technique but the essence of how neural networks learn. This algorithm, foundational to machine learning, enables networks to adjust their internal parameters to perform better over time. In this article, we unravel…

UNet for Image Segmentation

Image segmentation is one of the most crucial tasks in computer vision. Unlike image classification or object detection, segmentation requires labeling each pixel of an image to identify distinct regions or objects. Among the various architectures designed…

Understanding Neural Networks : Comprehensive example

Neural networks, the cornerstone of modern artificial intelligence (AI), have transformed computational science by enabling machines to learn patterns from data. To illustrate their power and functionality, let’s delve into their mechanisms using a classic example: recognizing…

A Rigorous Exploration of Transformers and Neural Networks

1. What Are Neural Networks? Neural networks are mathematical frameworks inspired by biological neural systems, designed to approximate complex functions by learning from data. They are pivotal in tasks involving pattern recognition, predictive modeling, and generative processes,…