Ergebnisse für: Adversarial Deep Learning
Hier findest Du Bücher, die sich mit Adversarial Deep Learning beschäftigen.
The first edition of this textbook was published in 2021. Over the past two years, we have invested in enhancing all aspects of deep learning methods to ensure the book is comprehensive and impeccable. Taking into account feedback from our readers and audience, the author has diligently updated this...
Generative Modelle haben sich zu einem der spannendsten Themenbereiche der Künstlichen Intelligenz entwickelt: Mit generativem Deep Learning ist es inzwischen möglich, einer Maschine das Malen, Schreiben oder auch das Komponieren von Musik beizubringen – kreative Fähigkeiten, die bisher dem Men...
Lassen Sie Ihre Deep-Learning-Modelle kreativ werden!
Das Buch zeigt, wie die innovativsten Deep-Learning-Algorithmen wie Generative Adversarial Networks (GANs) und Variational Autoencoder (VAEs) funktionieren
Für kreative Data Scientists und Programmierer, die gerne mit Code experimentieren...
This book presents and surveys normalization techniques with a deep analysis in training deep neural networks.  In addition, the author provides technical details in designing new normalization methods and network architectures tailored to specific tasks.  Normalization methods can improve...
This book surveys normalization techniques with a deep analysis in training deep neural networks. Normalization methods can improve the training stability, optimization efficiency, and generalization ability of deep neural networks (DNNs) and have become basic components in most state-of-the-art DNN...
This book constitutes the refereed post-conference proceedings of the Third International Conference on Deep Learning Theory and Applications, DeLTA 2022, held in Lisbon, Portugal, during January 17-18, 2022.The 6 full papers included in this book were carefully reviewed and selected from ...
The two-volume set CCIS 2171 and 2172 constitutes the refereed papers from the 5th INternational Conference on Deep Learning Theory and Applications, DeLTA 2024, which took place in Dijon, France, during July 10-11, 2024. 
The 44 papers included in these proceedings were carefully reviewed and...