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. What is a Neural Network? A neural network (Neural Networks, abbreviated as NN), also known as an artificial neural network (ANN) or simulated neural network (SNN), is a subset of machine learning (ML, Machine Learning) and is the core of deep learning (DL, Deep Learning) algorithms. Its name and structure are inspired by the … Read more
Click on the above“Beginner Learning Vision” to select “Star” or “Top“ Important content delivered promptly Source:Machine Heart For academic sharing only, please contact for deletion if infringing Despite the widespread success of DNNs in various practical applications, their processes are often viewed as black boxes because it is difficult to explain how DNNs make decisions. … Read more
Click on the above “Beginner’s Guide to Vision”, select to add “Bookmark” or “Pin“ Heavyweight content delivered promptly Image Processing| Computer Vision CV | Deep Learning | Vision Language Model VLM Introduction This review categorizes recent innovations in CNN architectures into seven distinct categories based on spatial utilization, depth, multi-path, width, feature map utilization, channel … Read more
Nowadays, after becoming proficient in using dedicated frameworks and high-level libraries like Keras, TensorFlow, or PyTorch, we no longer need to frequently worry about the size of neural network models or remember formulas for activation functions and derivatives. With these libraries and frameworks, creating a neural network, even one with a complex architecture, often only … 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
AI Popular Science 18 Essential Algorithms in Machine Learning Neural Networks The 21st century is an information age, as well as a big data age. For traditional methods and tools, processing and analyzing massive amounts of data is a huge challenge. At this time, neural networks emerged as a powerful machine learning tool, demonstrating great … Read more
Neural networks are powerful deep learning models capable of synthesizing vast amounts of data in seconds. There are many different types of neural networks that help us accomplish various everyday tasks, from recommending movies or music to assisting us in online shopping. Similar to how airplanes were inspired by birds, neural networks (NNs) are also … Read more
Click the "Xiaobai Learns Vision" above, select "Star" or "Pin" Heavy content delivered to you first Author丨Piotr Migdał Source丨Youer’s Cabin Editor丨Jishi Platform Jishi Guide Illustrated overview of the entire neural network architecture, and tools and techniques for understanding specific modules. Baseline Model AlexNet is a groundbreaking architecture that made Convolutional Neural Networks (CNNs) the main … Read more
This year’s Nobel Prize in Physics was awarded to AI pioneer Hinton, whose major contribution is the invention of a new neural network – the Boltzmann machine, which has shone brightly in the field of machine learning. So what is a neural network? The essence of the large models that have been popular in recent … Read more