Click on the above“Beginner Learning Vision” to select and addStarred or “Top” Important content delivered in real-time Author | SANYA4 Translator | VK Source | Analytics Vidhya Introduction Neural networks are everywhere today. Major companies are spending heavily on hardware and talent to ensure they can build the most complex neural networks and deliver the … Read more
Source: Algorithm Advancement This article is approximately 4800 words long and is suggested to be read in 8 minutes. This article introduces the functionality of neural networks. In the fields of machine learning and related areas, artificial neural networks are computational models inspired by biological neural networks: each neuron is connected to other neurons, and … Read more
Source:AI 有道 Approximately 3200 words, recommended reading time 5 minutes This article introduces the mathematical principles behind neural networks. Neural networks are a clever arrangement of linear and nonlinear modules. By smartly selecting and connecting these modules, we obtain a powerful tool to approximate any mathematical function, such as a neural network that can classify … Read more
Have you noticed that neural networks are everywhere? They appear in the news, in your phone, and even on your social media. But honestly, most of us don’t know how they work. Those fancy math and strange terms like “backpropagation”? In this article, we explore the Multi-Layer Perceptron (MLP) – the most basic type of … Read more
1 Algorithm Introduction Convolutional Neural Networks (CNNs) are a class of feedforward neural networks that include convolutional computations and have a deep structure. They have emerged in recent years as an efficient recognition method that has gained widespread attention. The design inspiration for CNNs comes from the hierarchical processing capabilities of the animal visual system, … Read more
This article introduces the basic concepts in deep learning neural networks: Vectors, Matrices, and Multidimensional Arrays Basics of Neural Networks Activation Functions Implementing Fully Connected Networks from Scratch Mathematics and Python Basics In neural networks, vectors and matrices are ubiquitous. Below is an introduction to creating one-dimensional, two-dimensional, and higher-dimensional arrays using numpy. Vector (One-Dimensional … Read more
With the increasing popularity of Artificial Intelligence (AI) technology, various algorithms play a key role in driving the development of this field. From linear regression for predicting housing prices to neural networks for self-driving cars, these algorithms silently support the operation of countless applications. Today, we will take you through these popular artificial intelligence algorithms … Read more
Click on the above“Beginner Learning Vision”, select to add “Star” or “Pin” Heavyweight content delivered first time Author | Cat Eating Fish python @CSDN Editor | 3D Vision Developer Community Contents Introduction content 1. Project Introduction and Preface 2. Recognition and Detection Methods Methods in this article Project Analysis 3. Complete Code and Effect Display … Read more
Face recognition is ubiquitous in our lives, for example, in building access control systems, where it replaces traditional access cards or passwords, enhancing convenience and security. In terms of mall security, face recognition is widely used in monitoring systems, helping to identify and track potential criminals or missing persons, thus improving safety measures. Additionally, unlocking … Read more
Click the "Xiaobai Learns Vision" above, select to add "Star" or "Top" Heavy content delivered at the first time Author丨Vinithavn Source丨AI Park 1. Introduction What is Object Detection? Given an image, we humans can identify objects within it. For example, we can detect if there are cars, trees, people, etc., in the image. If we … Read more