"Generative Adversarial Learning: Architectures and Applications"

entries per page

Filter:

Showing 1 to 20 of 100 entries

Book	Author(s)	Year	Publisher
Generative Adversarial Learning: Architectures and Applications	Roozbeh Razavi-Far; Ariel Ruiz-Garcia; Vasile Palade; Juergen Schmidhuber	1st ed. 2022	Springer International Publishing
Generative Adversarial Networks Projects	Kailash Ahirwar	2018-10-31	Packt Publishing
GANs in Action: Deep learning with Generative Adversarial Networks	Jakub Langr, Vladimir Bok	2019	Manning Publications
GANs in Action: Deep learning with Generative Adversarial Networks	Jakub Langr, Vladimir Bok	2019	Manning Publications
Generative Adversarial Networks with Python	Jason Brownlee	2020
Generative Adversarial Networks for Image Generation	Xudong Mao; Qing Li	1st ed. 2021	Springer Nature Singapore
Adversarial Machine Learning	Anthony D. Joseph; Blaine Nelson; Benjamin I. P. Rubinstein; J. D. Tygar	2019-02	Cambridge University Press
Adversarial Machine Learning	Yevgeniy Vorobeychik; Murat Kantarcioglu		Springer International Publishing
Generative Adversarial Networks Projects: Build Next-Generation Generative Models Using TensorFlow and Keras.	Ahirwar, Kailash	2019	Packt Publishing Ltd
Generative Adversarial Networks for Image-to-Image Translation	Anand Nayyar; Arun Solanki and Mohd Naved	2021	Academic Press
Hands-On Generative Adversarial Networks with PyTorch 1. x	John Hany, Greg Walters	2019	Packt Publishing
Generative Adversarial Networks Cookbook: Over 100 recipes to build generative models using Python, TensorFlow, and Keras	Josh Kalin	2018	Packt Publishing
Media Networks: Architectures, Applications, and Standards: Architectures, Applications, and Standards	Hassnaa Moustafa; Sherali Zeadally	2012	Routledge
Machine Learning: Discriminative and Generative	Tony Jebara	2004	Springer US
Ugly, Useless, Unstable Architectures: Phase Spaces and Generative Domains	Miguel Paredes Maldonado	2019	Routledge
Domain architectures: models and architectures for UML applications	Daniel J. Duffy	2004	John Wiley & Sons
Learning Architectures: Building Organizational and Individual Learning	Warren R. Wilhelm	January 10, 2003	GPA Press
Generative Programming: Methods,Tools,and Applications	Krzysztof Czarnecki; Ulrich Eisenecker	June 6, 2000	Addison-Wesley Professional
Deep Learning: Concepts and Architectures	Witold Pedrycz; Shyi-Ming Chen	1st ed. 2020	Springer International Publishing
Neurocomputing: Algorithms, Architectures and Applications	Francoise Fogelman Soulie; Jeanny Herault	1990	Springer Berlin Heidelberg
Boook	Author(s)	Year	Publisher

Showing 1 to 20 of 100 entries

entries per page

Filter:

Showing 1 to 20 of 100 entries

Chapter	Author(s)	Book	Book Authors	Year	Publisher
An Introduction to Generative Adversarial Learning: Architectures and Applications	Roozbeh Razavi-Far; Ariel Ruiz-Garcia; Vasile Palade	Generative Adversarial Learning: Architectures and Applications	Roozbeh Razavi-Far; Ariel Ruiz-Garcia; Vasile Palade; Juergen Schmidhuber	1st ed. 2022	Springer International Publishing
Generative Adversarial Learning		Enterprise Artificial Intelligence Transformation	Rashed Haq	2020	Wiley
Generative adversarial imitation learning		HANDS-ON REINFORCEMENT LEARNING WITH PYTHON -: master reinforcement and deep reinforcement. . . learning from scratch using openai gym and tensorf.	SUDHARSAN RAVICHANDIRAN	2020	PACKT PUBLISHING LIMITED
Generative Adversarial Imitation Learning		Algorithms for Decision Making	Mykel J. Kochenderfer; Tim A. Wheeler; Kyle H. Wray	2020
Federated Generative Adversarial Learning	Chenyou Fan; Ping Liu	Pattern Recognition and Computer Vision: Third Chinese Conference, PRCV 2020, Nanjing, China, October 16–18, 2020, Proceedings, Part III	Yuxin Peng; Qingshan Liu; Huchuan Lu; Zhenan Sun; Chenglin Liu; Xilin Chen; Hongbin Zha; Jian Yang	1st ed. 2020	Springer International Publishing
Deep learning: Generative adversarial networks and adversarial methods	Jelmer M. Wolterink; Konstantinos Kamnitsas; Christian Ledig; Ivana Išgum	Handbook of Medical Image Computing and Computer Assisted Intervention	Daniel Rueckert; Gabor Fichtinger andS. Kevin Zhou	2020	Academic Press
Generative Adversarial Network and Its Applications	A. Vijayalakshmi; Deepa V. Jose	Artificial Intelligence (AI): Recent Trends and Applications	S. Kanimozhi Suguna; M. Dhivya; Sara Paiva	2021	Routledge
Generative adversarial		Image recognition: progress, trends and challenges	(College teacher) S. Ramakrishnan (editor); Charles Z. Liu (editor)	2020	Nova Science Publishers
Generative Adversarial		Image Recognition: Progress, Trends and Challenges	Charles Z. Liu (editor), S. Ramakrishnan (editor)	2020	Nova Science Pub Inc
Generative Adversarial Network	K. Rakesh; V. Uma	Artificial Intelligence (AI): Recent Trends and Applications	S. Kanimozhi Suguna; M. Dhivya; Sara Paiva	2021	Routledge
Generative Adversarial Networks	Momiao Xiong	Artificial Intelligence and Causal Inference	Momiao Xiong	2022	Routledge
Generative Adversarial Networks	Xiangming Zeng; Liangqu Long	Beginning Deep Learning with TensorFlow: Work with Keras, MNIST Data Sets, and Advanced Neural Networks	Liangqu Long; Xiangming Zeng	1st ed.	Apress
Generative Adversarial Networks	Jakub M. Tomczak	Deep Generative Modeling	Jakub M. Tomczak	1st ed. 2022	Springer International Publishing
Generative adversarial network	Shih-Chia Huang; Trung-Hieu Le	Principles and Labs for Deep Learning	Shih-Chia Huang and Trung-Hieu Le	2021	Academic Press
Generative Adversarial Network		Deep Learning and Its Applications	Arvind Kumar Tiwari	2021	Nova Science Publishers
Generative adversarial networks		Generative AI with Python and TensorFlow 2: Create images, text, and music with VAEs, GANs, LSTMs, Transformer models	Joseph Babcock, Raghav Bali	2021	Packt Publishing
Generative Adversarial Networks		The Hundred-Page Machine Learning Book	Andriy Burkov	2019	Andriy Burkov
Generative Adversarial Networks		Machine and Deep Learning Algorithms and Applications	Uday Shankar Shanthamallu, Andreas Spanias	2021	Morgan & Claypool
Generative Adversarial Networks		Practical Deep Learning: A Python-Based Introduction	Ron Kneusel	2021	No Starch Press
Generative adversarial networks		Intelligent Projects Using Python: 9 real-world AI projects leveraging machine learning and deep learning with TensorFlow and Keras	Santanu Pattanayak	2019	Packt Publishing
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

"Generative Adversarial Learning: Architectures and Applications" - similar Books and Chapters