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GANs Interview Questions: with detailed answers
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ISBN13：9798849689067
出版社：Independently published
作者：Saroj Mali
出版日：2022/09/09
裝訂：平裝
規格：22.9cm*15.2cm*0.2cm (高/寬/厚)
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This book "GANs Interview Questions" is the only book you need to master Generative Adversarial Network (GAN) for Deep Learning and Machine Learning Interviews. We have presented 50+ Interview questions on Generative Adversarial Network (GAN) along with detailed answers.
On completing this book, you will:
Get started with this book and change the equation of your career. Book: GANs Interview Questions
Authors (3): Aditya Chatterjee, Saroj Mali, Geoffrey Ziskovin About the authors:
Aditya Chatterjee is an Independent Researcher, Technical Author and the Founding Member of OPENGENUS, a scientific community focused on Computing Technology.
Saroj Mali is a Machine Learning Developer, Intern at OpenGenus and has research interests in Deep Learning.
Geoffrey Ziskovin is an American Software Engineer with an experience of over 30 years. He has interviewed over 700 candidates worldwide for various Fortune 500 companies. Published: September 2022 (Edition 1)
Publisher: (c) OpenGenus
On completing this book, you will:
- Crack Machine Learning, Data Science and Software Development Interviews where GAN is a hot topic.
- GAN is one of the most popular Neural Network models and hence, having a strong theoretical background of it is a must.
Get started with this book and change the equation of your career. Book: GANs Interview Questions
Authors (3): Aditya Chatterjee, Saroj Mali, Geoffrey Ziskovin About the authors:
Aditya Chatterjee is an Independent Researcher, Technical Author and the Founding Member of OPENGENUS, a scientific community focused on Computing Technology.
Saroj Mali is a Machine Learning Developer, Intern at OpenGenus and has research interests in Deep Learning.
Geoffrey Ziskovin is an American Software Engineer with an experience of over 30 years. He has interviewed over 700 candidates worldwide for various Fortune 500 companies. Published: September 2022 (Edition 1)
Publisher: (c) OpenGenus
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