Еволюція детекції та класифікації | SVM, HOG, DPM, CNN, YOLO

00:00 Introduction 00:45 Image Classifier Architecture 04:27 Binary Classifier Implementation 07:07 Perceptron 12:58 Linear Regression 17:49 Logistic Regression 19:30 Support Vector Method 20:49 Histogram of Oriented Gradients 27:21 Convolutional Neural Networks In this video, we will look at the development of approaches in computer vision: from early classification models, through manual feature extraction (HOG, DPM), to deep learning with convolutional neural networks (CNN) and modern object detection systems based on YOLO. 📌 Learning Platform https://learn-port.tech 🧑‍💻 Software Development https://am-dev.site/ 📘Introduction to Web Application Architecture https://learn-port.tech/material/1 📒Overview of Frontend Frameworks: React/Angular/Vue https://learn-port.tech/material/2 📙Building a Reliable React Pipeline https://learn-port.tech/material/3