This article was first published on WeChat public account: “The Beauty of Algorithms and Programming”, welcome to follow for more timely updates on this series of articles. Problem Description Here is an example of recognizing the mnist handwritten dataset. This dataset is a classic dataset in machine learning, consisting of 60k training samples and 10k … Read more
An artificial neural network is actually like a complex calculator; you input something, and it gives you a result. Just like when you input 2+2 into a calculator, it outputs 4, but an artificial neural network can handle more than just basic arithmetic; it can process more complex things like images, text, etc. So when … Read more
1 Algorithm Introduction Artificial Neural Networks (ANN), also known simply as neural networks, are mathematical models that closely resemble the characteristics of biological neural networks among many machine learning algorithms. ANN simulates the structure and function of biological neural networks (the brain) and is composed of numerous nodes (also called “neurons” or “units”) that are … Read more
Author: Matthew Stewart Translator: Che Qianzi Proofreader: Chen Dan This article is approximately 5500 words, and it is recommended to read it in 12 minutes. The knowledge in this article will provide a strong foundation to introduce you to the performance of neural networks, applied in deep learning applications. “Your brain does not generate thoughts. … Read more
Click on the above “Beginner Learning Vision”, select to add Star or “Top” Important content delivered immediately Introduction Artificial neural networks are typically optimized through a learning method based on mathematical statistics. This article provides a detailed introduction to the definition of neural networks and the relevant operational models. Overview of Structure 1. Introduction to … Read more
Click the above “Beginner Learning Visuals” to choose to add a “Star” or “Pinned” Heavyweight content delivered first-hand Source:getwallpapers.com Deep learning is one of the important branches of machine learning. Its goal is to teach computers to perform tasks that are quite natural for humans. Deep learning is also a key technology behind autonomous vehicles, … Read more
Click the above“Beginner’s Visual Learning” to select “Star” or “Pin” Important Insights Delivered Instantly Official Account: You and Your House Author: Yu Yu Lu Ming Editor: Peter Hello everyone, I am Peter~ There are many doubts about the number of hidden layers and neurons in neural networks. I just saw an article that answers these … Read more
Author: Chen Zhiyan This article is about 2500 words long and is recommended for a 7-minute read. The future of neurons is full of infinite possibilities. Introduction In this era of information explosion, have you ever dreamed of conversing fluently with machines or having AI assist you in crafting stunning articles? All of this relies … 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
Researchers from the South China University of Technology have published a paper that describes the mathematical principles of convolutional networks. This paper explains the operations and propagation processes of convolutional networks from a mathematical perspective.This paper is very helpful for understanding the mathematical essence of convolutional networks and assists readers in implementing convolutional networks “by … Read more