Semi-Supervised Learning

Diffusion Mechanism in Residual Neural Networks: Theory and Applications

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Diffusion Mechanism in Residual Neural Networks: Theory and Applications

This article is adapted from: AI Academic Workshop Title: Diffusion Mechanism in Residual Neural Network: Theory and Applications Diffusion Mechanism in Residual Neural Networks: Theory and Applications Authors: Tangjun Wang; Zehao Dou; Chenglong Bao; Zuoqiang Shi Source code link: https://github.com/shwangtangjun/Diff-ResNet Abstract Diffusion is a fundamental internal mechanism that occurs in many physical processes, describing the … Read more

Machine Learning: Definition, Development History, and Algorithm Classification

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Machine Learning: Definition, Development History, and Algorithm Classification

1. Definition Machine learning is a multidisciplinary field that encompasses knowledge of probability theory, statistics, approximation theory, and complex algorithms. It uses computers as tools to simulate human learning in real-time and aims to effectively improve learning efficiency by structuring existing knowledge. There are several definitions of machine learning: (1) Machine learning is a science … Read more