"Deep Learning Classifiers with Memristive Networks: Theory and Applications"

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Book	Author(s)	Year	Publisher
Deep Learning Classifiers with Memristive Networks: Theory and Applications	Alex Pappachen James	1st ed. 2020	Springer International Publishing
Deep Learning: Fundamentals, Theory and Applications	Kaizhu Huang; Amir Hussain; Qiu-Feng Wang; Rui Zhang	1st ed. 2019	Springer International Publishing
Learning Kernel Classifiers: Theory and Algorithms	Ralf Herbrich	2001	MIT Press
Learning Kernel Classifiers: Theory and Algorithms	Ralf Herbrich	2001	MIT Press,
Learning kernel classifiers: theory and algorithms /	Herbrich, Ralf.	[2002], ©2002.	MIT Press,
Variational Methods for Machine Learning with Applications to Deep Networks	Lucas Pinheiro Cinelli; Matheus Araújo Marins; Eduardo Antônio Barros da Silva; Sérgio Lima Netto	1st ed. 2021	Springer International Publishing
The Deep Learning with PyTorch Workshop: Build deep neural networks and artificial intelligence applications with PyTorch	Hyatt Saleh	2020	Packt Publishing - ebooks Account
Deep Learning Applications	M. Arif Wani; Mehmed Kantardzic; Moamar Sayed-Mouchaweh	1st ed. 2020	Springer Nature Singapore
Deep Learning with Keras: Implementing deep learning models and neural networks with the power of Python	Antonio Gulli, Sujit Pal	2017	Packt Publishing
MATLAB Deep Learning: With Machine Learning, Neural Networks and Artificial Intelligence	Phil Kim	1st ed.	Apress
Deep Learning with TensorFlow: Explore Neural Networks with Python	Giancarlo Zaccone; Md. Rezaul Karim; Ahmed Menshawy	2017	Packt Publishing
Deep Learning: Research and Applications	Siddhartha Bhattacharyya; Vaclav Snasel; Aboul Ella Hassanien; Satadal Saha; B. K. Tripathy	2020	De Gruyter
Deep Learning: Algorithms and Applications	Witold Pedrycz; Shyi-Ming Chen	1st ed. 2020	Springer International Publishing
Deep Learning and Its Applications	Arvind Kumar Tiwari	2021	Nova Science Publishers
Deep Learning: Methods and Applications	Li Deng, Dong Yu	2014	Now Publishers
Deep Learning for Numerical Applications with SAS	Henry Bequet	2018	SAS
Learning and Generalisation: With Applications to Neural Networks	Mathukumalli Vidyasagar	2nd ed. 2003	Springer London
Introduction to Deep Learning and Neural Networks with Python™	Ahmed Gad and Fatima Ezzahra Jarmouni	2021	Academic Press
Neural Networks and Deep Learning: A Textbook	Charu C. Aggarwal	1st ed. 2018	Springer International Publishing
GANs in Action: Deep learning with Generative Adversarial Networks	Jakub Langr, Vladimir Bok	2019	Manning Publications
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Memristive devices for deep learning applications	Damien Querlioz; Sabina Spiga; Abu Sebastian; Bipin Rajendran	Memristive Devices for Brain-Inspired Computing	Abu Sebastian; Bipin Rajendran; Damien Querlioz andSabina Spiga	2020	Woodhead Publishing
Memristive Deep Convolutional Neural Networks	Olga Krestinskaya; Alex Pappachen James	Deep Learning Classifiers with Memristive Networks: Theory and Applications	Alex Pappachen James	1st ed. 2020	Springer International Publishing
Deep Learning with Neural Networks		Artificial Intelligence and Machine Learning Fundamentals	Zsolt Nagy	2018	Apress
Deep Learning Applications with Python	Nahil Ahmed Hassan; Abhigith Neil Abraham; Ajeesh Ramanujan	Advanced Deep Learning for Engineers and Scientists: A Practical Approach	Kolla Bhanu Prakash; Ramani Kannan; S.Albert Alexander; G. R. Kanagachidambaresan	1st ed. 2021	Springer International Publishing
Popular deep learning image classifiers	Habib Izadkhah	Deep Learning in Bioinformatics	Habib Izadkhah	2022	Academic Press
Deep-learning networks	E.R. Davies	Computer Vision (Fifth Edition)	E.R. Davies	2018	Academic Press
Deep Learning Networks		Building Recommender Systems with Machine Learning and AI: Help people discover new products and content with deep learning, neural networks, and machine learning recommendations.	Frank Kane	2021	Sundog Education
Deep Learning and Applications	Wengang Zhang; Yanmei Zhang; Xin Gu; Chongzhi Wu; Liang Han	Application of Soft Computing, Machine Learning, Deep Learning and Optimizations in Geoengineering and Geoscience	Wengang Zhang; Yanmei Zhang; Xin Gu; Chongzhi Wu; Liang Han	1st ed. 2022	Springer Nature Singapore
Fuzzy memristive networks	Samaneh Soradi-Zeid; Hadi Jahanshahi	Mem-elements for Neuromorphic Circuits with Artificial Intelligence Applications	Christos Volos and Viet-Thanh Pham	2021	Academic Press
Deep Networks and Deep Learning Algorithms	Tannu Kumari; Anjana Mishra	Artificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches	K. Gayathri Devi; Mamata Rath; Nguyen Thi Dieu Linh	2020	Routledge
Deep Learning Applications		AI for People and Business: A Framework for Better Human Experiences and Business Success	Alex Castrounis	2019	Oreilly & Associates Inc
Deep learning applications		Python Deep Learning	Valentino Zocca; Gianmario Spacagna; Daniel Slater; Peter Roelants	2017	Packt Publishing - ebooks Account
Deep Learning Applications		Deep Learning for the Life Sciences: Applying Deep Learning to Genomics, Microscopy, Drug Discovery, and More /	Ramsundar, Bharath.; Eastman, Peter.; Walters, Patrick.; Pande, Vijay.		O'Reilly Media, Incorporated
Deep Learning Applications		Deep Learning for the Life Sciences. Genomics, Microscopy, Drug Discovery	Bharath Ramsundar, Peter Eastman, Patrick Walters, Vijay Pande	2019	O’Reilly
Deep Learning Networks for Automated Scoring Applications	Saad M. Khan; Yuchi Huang	Handbook of Automated Scoring: Theory into Practice	Duanli Yan; André A. Rupp; Peter W. Foltz	2020	Routledge
Neural Networks and Deep Learning with TensorFlow	Pramod Singh; Avinash Manure	Learn TensorFlow 2. 0: Implement Machine Learning and Deep Learning Models with Python	Pramod Singh; Avinash Manure	1st ed.	Apress
Deep Learning with Random Neural Networks	Erol Gelenbe; Yongha Yin	Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016: Volume 2	Yaxin Bi; Supriya Kapoor; Rahul Bhatia	1st ed. 2018	Springer International Publishing
Deep Learning with Convolutional Neural Networks	William B. Claster	Mathematics and Programming for Machine Learning with R: From the Ground Up	William B. Claster	2020	Routledge
Machine learning and deep learning networks		Computer Vision (Fifth Edition)	E.R. Davies	2018	Academic Press
Deep learning theory		AI Crash Course: A fun and hands-on introduction to machine learning, reinforcement learning, deep learning, and artificial intelligence with Python	Hadelin de Ponteves	2019	Packt Publishing, Limited
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

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