Deep Learning
Deep Learning Regression: Regression is one of the most important ML concepts on which DL relies while solving problems that demand output in continuous values. Unlike other models of learning that aim at making classifications of certain labels, Regression is centered on numerical values. This article offers an understanding of Regression in deep learning, some … Read more
Introduction In recent years, deep learning has made tremendous strides in transforming various industries, and one of the most remarkable fields it has impacted is image processing. Image processing traditionally relied on techniques like filtering, thresholding, and segmentation. However, with the advent of deep learning, especially through neural networks, the process has become significantly more … Read more
How Deep Learning is Transforming Image Processing Deep learning is a concept in artificial intelligence (AI) and machine learning based of neural networks with multiple layers. They are designed to work in the same way as a human brain would, which allows the layers within these networks of neuron nodes that process inputs and results … Read more
In image processing, deep learning has emerged as a powerful tool for enhancing images. Whether it’s sharpening blurry images, denoising photos, or improving image resolution, deep learning techniques have revolutionized the way we perceive and manipulate visual data. 1. Super-Resolution Super-resolution aims to enhance the resolution of an image, increasing its clarity and detail. Deep … Read more
In computer vision and object detection, algorithm that stands out for its efficiency and accuracy: YOLO, short for You Only Look Once. Developed by Joseph Redmon and Santosh Divvala, YOLO revolutionized object detection by introducing a single neural network architecture capable of detecting objects in real-time with impressive precision. What is YOLO? YOLO Algorithm is … Read more