MLNLP community is a well-known machine learning and natural language processing community in China and abroad, covering NLP master’s and doctoral students, university teachers, and corporate researchers. The Vision of the Community is to promote communication and progress between the academic and industrial circles of natural language processing and machine learning in China and abroad, … Read more
Abstract:The emergence of a new generation of generative artificial intelligence, represented by ChatGPT, is revolutionary and epoch-making. The existence and development of generative artificial intelligence will inevitably trigger a new round of explosion in social productivity, thereby determining significant changes in production relations. Currently, generative artificial intelligence like ChatGPT still falls within the realm of … Read more
Table of Contents What is GAN? What Can GAN Do? Framework and Training of GAN Similarities and Differences Between GAN and Other Generative Models Existing Problems of GAN Models (Continued from last issue) 3 Framework and Training of GAN Previously, we mentioned that GAN consists mainly of two parts: the generator model and the discriminator … Read more
Source: Machine Heart Author: Jiang Siyuan The length of this article is 8300 words, recommended reading time is 8 minutes This article will start from the original paper, using Goodfellow’s speech at NIPS 2016 and Li Hongyi’s explanation from National Taiwan University, to complete the derivation, proof, and implementation of the original GAN. This article … Read more
Proofread by: Zhu Jianghua Feng To ensure the quality of our publications and establish a good reputation, Data Dispatch has establishedthe “Typo Fund”, encouragingreaders to actively report errors. If you find any errors while reading this article, please leave a comment at theend of the article, or provide feedback in thebackground. After confirmation by the … Read more
CCF published a new issue of the “China Computer Science and Technology Development Report” in October 2018, detailing the research progress in ten directions, including the deep integration of AI and system software. We will share the highlights of the report in installments. Please join CCF and log in to the CCF digital library to … Read more
Yann LeCun highly affirms GAN. Introduction: Generative Adversarial Networks (GAN) is a generative model proposed by Ian Goodfellow et al. in 2014. Researcher Wang Feiyue and others elaborated on the research progress and development trends of GAN in the third issue of the Journal of Automation. They first summarized the background, theory, implementation models, and … Read more
Table of Contents What is GAN? What Can GAN Do? Framework and Training of GAN Similarities and Differences Between GAN and Other Generative Models Existing Issues with GAN Models Introduction: GAN has gained significant popularity in the field of images over the past year, and there is a recent trend of it making inroads into … Read more
The storm of GANs has swept through the entire deep learning community, making any task seem high-end as soon as it is wrapped in a GAN shell. So, what exactly is GAN? This article is packed with valuable information, perfect for saving! At the end of the article, there is additional GAN resources for everyone … Read more
Metaverse & Generative Artificial Intelligence Thoughts What is Generative Artificial Intelligence? A type of artificial intelligence model capable of generating new, original content. These models are typically based on deep learning technologies and can learn from input data to generate new data or text. They have achieved success in many fields such as image generation … Read more