机器学习GAN框架初探

A Preliminary Study of GAN Framework for Machine Learning

对于机器学习,最常见的是按照数据标签形式划分,可分为:监督学习、半监督学习、无监督学习、强化学习。本文分析研究了机器学习GAN框架。

For machine learning, the most common classification is in the form of data labels, which can be divided into: supervised learning, semisupervised learning, unsupervised learning and reinforcement learning. This paper analyzes and studies the GAN framework of machine learning.