"Deep Learning for Regression and Classification"

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Book	Author(s)	Year	Publisher
Deep Learning for Hyperspectral Image Analysis and Classification	Linmi Tao; Atif Mughees	1st ed. 2021	Springer Nature Singapore
Tensorflow for Deep Learning: From Linear Regression to Reinforcement Learning	Bharath Ramsundar	2018	O'Reilly Media
Modern Multivariate Statistical Techniques: Regression, Classification, and Manifold Learning	Alan J. Izenman	2008	Springer New York
Modern Multivariate Statistical Techniques: Regression, Classification, and Manifold Learning	Alan J. Izenman (auth.)	2008	Springer-Verlag New York
Classification And Regression Trees	Leo Breiman	1984	Routledge
Statistical Regression and Classification: From Linear Models to Machine Learning	Norman Matloff	2017	Routledge
Deep Learning in Python Prerequisites: Master Data Science and Machine Learning with Linear Regression and Logistic Regression in Python (Machine Learning in Python)	LazyProgrammer
Deep Learning for Biometrics	Bir Bhanu; Ajay Kumar	1st ed. 2017	Springer International Publishing
Deep Learning for Dummies	Mueller, John Paul; Massaron, Luca	2019	For Dummies
Java Deep LearningCookbook - Train neural networks for classification, NLP, and reinforcement learning using Deeplearning4j.	Rahul Raj	2020	Packt
Deep Learning for Computer Vision: Image Classification, Object Detection, and Face Recognition in Python	Jason Brownlee	2019	Independently Published
Principles and Labs for Deep Learning	Shih-Chia Huang and Trung-Hieu Le	2021	Academic Press
Deep Learning for Cancer Diagnosis	Utku Kose; Jafar Alzubi	1st ed. 2021	Springer Nature Singapore
Synthetic Data for Deep Learning	Sergey I. Nikolenko	1st ed. 2021	Springer International Publishing
Deep Learning for Unmanned Systems	Anis Koubaa; Ahmad Taher Azar	1st ed. 2021	Springer International Publishing
Deep Learning for Biomedical Applications	Utku Kose; Omer Deperlioglu; D. Jude Hemanth	2021	Routledge
Deep Learning for Computer Architects	Brandon Reagen; Robert Adolf; Paul Whatmough; Gu-Yeon Wei; David Brooks		Springer International Publishing
Deep Learning for Sustainable Agriculture	Ramesh Poonia; Soumya Nayak andVijander Singh	2022	Academic Press
Deep Learning for Chest Radiographs	H.S Bhadauria; Jitendra Virmani; Papendra Kumar andYashvi Chandola	2021	Academic Press
Deep Learning for Data Analytics	Chittaranjan Pradhan; Himansu Das andNilanjan Dey	2020	Academic Press
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Deep Learning for Regression and Classification	Wing Kam Liu; Zhengtao Gan; Mark Fleming	Mechanistic Data Science for STEM Education and Applications	Wing Kam Liu; Zhengtao Gan; Mark Fleming	1st ed. 2021	Springer International Publishing
Deep Learning for Cerebellar Ataxia Classification and Functional Score Regression	Zhen Yang; Shenghua Zhong; Aaron Carass; Sarah H. Ying; Jerry L. Prince	Machine Learning in Medical Imaging: 5th International Workshop, MLMI 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 14, 2014, Proceedings	Guorong Wu; Daoqiang Zhang; Luping Zhou	2014	Springer International Publishing
A Classification-Regression Deep Learning Model for People Counting	Bolei Xu; Wenbin Zou; Jonathan Garibaldi; Guoping Qiu	Intelligent Systems and Applications: Proceedings of the 2018 Intelligent Systems Conference (IntelliSys) Volume 1	Kohei Arai; Supriya Kapoor; Rahul Bhatia	1st ed. 2019	Springer International Publishing
Deep Learning and Classification	Ata Mahjoubfar; Claire Lifan Chen; Bahram Jalali	Artificial Intelligence in Label-free Microscopy: Biological Cell Classification by Time Stretch	Ata Mahjoubfar; Claire Lifan Chen; Bahram Jalali	1st ed. 2017	Springer International Publishing
A Deep and Stable Extreme Learning Approach for Classification and Regression	Le-le Cao; Wen-bing Huang; Fu-chun Sun	Proceedings of ELM-2014 Volume 1: Algorithms and Theories	Jiuwen Cao; Kezhi Mao; Erik Cambria; Zhihong Man; Kar-Ann Toh	2015	Springer International Publishing
Deep Learning for Coral Classification	Ammar Mahmood; Mohammed Bennamoun; Senjian An; Ferdous Sohel; Farid Boussaid; Renae Hovey; Gary Kendrick; Robert B. Fisher	Handbook of Neural Computation	Pijush Samui; Sanjiban Sekhar Roy and Valentina Balas	2017	Academic Press
Deep Learning for Imbalanced Classification		Imbalanced Classification with Python: Better Metrics, Balance Skewed Classes, Cost-Sensitive Learning		2020	Machine Learning Mastery
Deep Learning for Text Classification		Practical Natural Language Processing: A Comprehensive Guide to Building Real-World NLP Systems	Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta, Harshit Surana	2020	O'Reilly Media, Inc.
Deep learning for image classification		Mastering OpenCV 4 with Python: A practical guide covering topics from image processing, augmented reality to deep learning with OpenCV 4 and Python 3. 7	Alberto Fernandez Villan	2019	Packt Publishing
Deep learning and regression analysis		Java for data science: examine the techniques and Java tools supporting the growing field of data science	Reese, Jennifer L.; Reese, Richard M	2017	Packt Publishing
Deep Active Learning for Image Regression	Hiranmayi Ranganathan; Hemanth Venkateswara; Shayok Chakraborty; Sethuraman Panchanathan	Deep Learning Applications	M. Arif Wani; Mehmed Kantardzic; Moamar Sayed-Mouchaweh	1st ed. 2020	Springer Nature Singapore
Supervised Learning – Classification and Regression		Structural Health Monitoring - A Machine Learning Perspective	Charles R. Farrar	2012	John Wiley & Sons
Deep Support Vector Classification and Regression	David Díaz-Vico; Jesús Prada; Adil Omari; José R. Dorronsoro	From Bioinspired Systems and Biomedical Applications to Machine Learning: 8th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2019, Almería, Spain, June 3–7, 2019, Proceedings, Part II	José Manuel Ferrández Vicente; José Ramón Álvarez-Sánchez; Félix de la Paz López; Javier Toledo Moreo; Hojjat Adeli	1st ed. 2019	Springer International Publishing
Deep Extreme Learning Machines for Classification	Migel D. Tissera; Mark D. McDonnell	Proceedings of ELM-2014 Volume 1: Algorithms and Theories	Jiuwen Cao; Kezhi Mao; Erik Cambria; Zhihong Man; Kar-Ann Toh	2015	Springer International Publishing
Multimodal Deep Learning for Patent Classification	Juhyun Lee; Junseok Lee; Jiho Kang; Youngho Kim; Dongsik Jang; Sangsung Park	Proceedings of Sixth International Congress on Information and Communication Technology: ICICT 2021, London, Volume 4	Xin-She Yang; Simon Sherratt; Nilanjan Dey; Amit Joshi	1st ed. 2022	Springer Nature Singapore
Deep learning methods for data classification	V.H. Arul	Artificial Intelligence in Data Mining	B.R. Rajakumar andD. Binu	2021	Academic Press
Deep Transfer Learning Ensemble for Classification	Chetak Kandaswamy; Luís M. Silva; Luís A. Alexandre; Jorge M. Santos	Advances in Computational Intelligence: 13th International Work-Conference on Artificial Neural Networks, IWANN 2015, Palma de Mallorca, Spain, June 10-12, 2015. Proceedings, Part I	Ignacio Rojas; Gonzalo Joya; Andreu Catala	2015	Springer International Publishing
Deep Learning for SAR Image Classification	Hasni Anas; Hanifi Majdoulayne; Anibou Chaimae; Saidi Mohamed Nabil	Intelligent Systems and Applications: Proceedings of the 2019 Intelligent Systems Conference (IntelliSys) Volume 1	Yaxin Bi; Rahul Bhatia; Supriya Kapoor	1st ed. 2020	Springer International Publishing
Deep Learning Model for Image Classification	Sudarshana Tamuly; C. Jyotsna; J. Amudha	Computational Vision and Bio-Inspired Computing: ICCVBIC 2019	S. Smys; João Manuel R. S. Tavares; Valentina Emilia Balas; Abdullah M. Iliyasu	1st ed. 2020	Springer International Publishing
Deep Learning for Satellite Image Classification	Mayar A. Shafaey; Mohammed A.-M. Salem; H. M. Ebied; M. N. Al-Berry; M. F. Tolba	Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2018	Aboul Ella Hassanien; Mohamed F. Tolba; Khaled Shaalan; Ahmad Taher Azar	1st ed. 2019	Springer International Publishing
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

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