Bøker av Qing Li

Generative adversarial networks (GANs) were introduced by Ian Goodfellow and his co-authors including Yoshua Bengio in 2014, and were to referred by Yann Lecun (Facebook's AI research director) as "e;the most interesting idea in the last 10 years in ML."e; GANs' potential is huge, because they can learn to mimic any distribution of data, which means they can be taught to create worlds similar to our own in any domain: images, music, speech, prose. They are robot artists in a sense, and their output is remarkable - poignant even. In 2018, Christie's sold a portrait that had been generated by a GAN for $432,000.Although image generation has been challenging, GAN image generation has proved to be very successful and impressive. However, there are two remaining challenges for GAN image generation: the quality of the generated image and the training stability. This book first provides an overview of GANs, and then discusses the task of image generation and the details of GAN image generation. It also investigates a number of approaches to address the two remaining challenges for GAN image generation. Additionally, it explores three promising applications of GANs, including image-to-image translation, unsupervised domain adaptation and GANs for security. This book appeals to students and researchers who are interested in GANs, image generation and general machine learning and computer vision.

The new concept will facilitate the development of a unified framework for analyzing the stability and convergence of self-tuning control (STC) systems, and potentially, of all adaptive control systems.

This book introduces the concepts of more electric aircraft and aviation electrical appliances, as well as the aviation experimental platform of vacuum switches, the interruption characteristics, frequency characteristics and post-arc breakdown characteristics of intermediate frequency vacuum switches, etc.

This book is the first to provide an in-depth analysis about the history, urban development, planning, and preservation of the Lhasa city over the last thirteen centuries.

This book discusses topics concerning digital game-based learning focusing on learning-by-game-building and Web 2.0. The author shows how such an approach can help students gain deep understanding of subjects such as mathematics and history, as well as undergraduate or graduate students' learning of pedagogy and also adult driver's learning of road safety rules.