1 Compiled by New Intelligence Source Author: Alberto Quesada Source: neuraldesigner.com Translated by: Liu Xiaoqin [New Intelligence Source Guide] There are thousands of algorithms for training neural networks. Which ones are the most commonly used, and which is the best? The author introduces five common algorithms in this article and compares them in terms of … Read more
Neural networks can refer to two types: one is the biological neural network, and the other is the artificial neural network. The biological neural network generally refers to the network composed of neurons, cells, and synapses in the biological brain, which is used to generate biological consciousness and assist organisms in thinking and acting. The … Read more
This article will cover the essence of Softmax in terms of its principle and applications, helping you understand the Softmax function in one go. Softmax Activation Function 1. Essence of Softmax Essence Softmax is generally used as the last layer in a neural network for output in multi-class problems. Its essence is an activation function … Read more
Course Introduction In the “Opinions on Promoting New Urban Infrastructure Construction to Create Resilient Cities” issued by the Ministry of Housing and Urban-Rural Development in 2024, it mentions intelligent municipal services, smart cities, smart residential areas, digital homes, CIM, etc. Future urban construction cannot be separated from “intelligence”. This course will focus on artificial intelligence … Read more
Neural network algorithms are a type of supervised learning algorithm that can be used to solve classification or regression problems. Their biggest feature is the minimal requirements imposed on the model structure and assumptions, allowing them to approximate various statistical models without needing to assume a specific relationship between the response variable and feature variables … Read more
Madio.net Mathematics China ///Editor: Only Tulips’ Garden This article is reproduced from Anli University Mathematical Modeling. D1 Algorithm Introduction The Artificial Neural Networks (ANN) system emerged in the 1940s. It consists of numerous neurons connected by adjustable weights, featuring large-scale parallel processing, distributed information storage, and strong self-organizing and self-learning capabilities. The BP (Back Propagation) … Read more
Leifeng Network is Hiring! Join Leifeng Network to share the information dividend of the AI era and walk alongside the intelligent future. It is said that the experts have clicked here. In 2016, Google released a brand new neural machine translation system (GNMT) and claimed that due to the intervention of neural network algorithms, this … Read more
From Sun Ying’s doctoral dissertation at the Institute of Computing Technology, Chinese Academy of Sciences, selected for the preliminary evaluation list of the 2023 CCF Doctoral Dissertation Incentive Program! https://www.ccf.org.cn/Focus/2023-11-29/798503.shtml Talent refers to individuals with certain professional knowledge or specialized skills, who engage in creative labor and contribute to society. Under the strategy of strengthening … Read more
The hottest technology right now is definitely artificial intelligence. The underlying model of artificial intelligence is the “neural network”. Many complex applications (such as pattern recognition and automatic control) and advanced models (like deep learning) are based on it. To learn artificial intelligence, one must start with it. So what is a neural network? There … Read more
Brand New Portrait Recognition Technology The key to a successful portrait recognition system lies in having cutting-edge core algorithms that yield practical recognition rates and speeds. It integrates various specialized technologies such as artificial intelligence, machine learning, model theory, and video image processing. How to improve the algorithm so that the portrait recognition technology can … Read more