Tag: Adversarial

Computer Vision Object Detection in Adversarial Vision


Free Download Computer Vision: Object Detection in Adversarial Vision
English | 2024 | ISBN: 1032551801 | 209 Pages | PDF (True) | 82 MB
This comprehensive textbook presents a broad review of both traditional (i.e., conventional) and deep learning aspects of object detection in various adversarial real-world conditions in a clear, insightful, and highly comprehensive style. Beginning with the relation of computer vision and object detection, the text covers the various representation of

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Machine Learning Algorithms Adversarial Robustness in Signal Processing (Wireless Networks)


Free Download Machine Learning Algorithms: Adversarial Robustness in Signal Processing (Wireless Networks) by Fuwei Li, Lifeng Lai, Shuguang Cui
English | November 16, 2022 | ISBN: 3031163745 | 113 pages | MOBI | 11 Mb
This book demonstrates the optimal adversarial attacks against several important signal processing algorithms. Through presenting the optimal attacks in wireless sensor networks, array signal processing, principal component analysis, etc, the authors reveal the robustness of the signal processing algorithms against adversarial attacks. Since data quality is crucial in signal processing, the adversary that can poison the data will be a significant threat to signal processing. Therefore, it is necessary and urgent to investigate the behavior of machine learning algorithms in signal processing under adversarial attacks.

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A Primer on Generative Adversarial Networks


Free Download A Primer on Generative Adversarial Networks
English | 2023 | ISBN: 3031326601 | 142 Pages | PDF EPUB (True) | 34 MB
This book is meant for readers who want to understand GANs without the need for a strong mathematical background. Moreover, it covers the practical applications of GANs, making it an excellent resource for beginners. A Primer on Generative Adversarial Networks is suitable for researchers, developers, students, and anyone who wishes to learn about GANs. It is assumed that the reader has a basic understanding of machine learning and neural networks. The book comes with ready-to-run scripts that readers can use for further research. Python is used as the primary programming language, so readers should be familiar with its basics.

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Introduction to Generative Adversarial Networks (GANs)


Free Download Introduction to Generative Adversarial Networks (GANs)
Released: 03/2023
Duration: 29m | .MP4 1280×720, 30 fps(r) | AAC, 48000 Hz, 2ch | 319 MB
Level: Beginner | Genre: eLearning | Language: English
Recently, you’ve probably seen the impacts of large-scale generative art, generative text, and generative movies. Do you want to understand the basics of how this type of AI works? In this course, Martin Kemka, founder of the machine learning production house Northraine, introduces you to a very important component in the world of generative AI: Generative Adversarial Networks (GANs). Learn about the history of GANs, including where they came from and how they changed over the last decade. Find out how to train a model as you examine the model architecture and how the structure of multiple models works together. Get hands-on experience training a simple model in Jupyter Notebook. Plus, get insights on the current state of GAI and thoughts on where it’s going next.

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