What Is Artificial Neural Network?

Welcome to the special winter vacation premium column “High-Tech Lessons for Kids” launched by Science Popularization China!

Artificial intelligence, as one of the most cutting-edge technologies today, is changing our lives at an astonishing pace. From smart voice assistants to self-driving cars, from AI painting to machine learning, it opens up a future full of infinite possibilities. This column will explain the principles, applications, and profound impacts of artificial intelligence on society in a simple and easy-to-understand way through videos and texts for children.

Let’s embark on this AI journey together!

First, let’s watch the video:

Below is the text version:

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Artificial Neural Network

The artificial neural network, abbreviated as ANN, is a computational model designed to mimic the structure and function of neural networks in the biological brain.

Generally speaking, artificial neural networks can be divided into three main parts: the input layer, hidden layers, and output layer.

The input layer processes and classifies external information and then passes the results to the next layer;

The hidden layers may contain one or more layers, which can process the information received from the input layer or other hidden layers, and pass the information to the output layer or the next hidden layer;

The output layer makes the final classification judgment on the incoming information and outputs the result.

A neural network with multiple hidden layers is also called a deep neural network. Theoretically, as long as there is a sufficient amount of data to train the deep neural network, it can be used to simulate any type of function and solve various types of problems.Therefore, deep neural networks are used in almost all aspects of artificial intelligence technology. From chat AI applications like ChatGPT to drawing AI, and to self-driving AI, we can see the presence of deep neural networks.

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