"A Guide to Convolutional Neural Networks for Computer Vision"

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Book	Author(s)	Year	Publisher
A Guide to Convolutional Neural Networks for Computer Vision	Salman Khan; Hossein Rahmani; Syed Afaq Ali Shah; Mohammed Bennamoun		Springer International Publishing
Artificial Neural Networks for Computer Vision	Yi-Tong Zhou; Rama Chellappa	1992	Springer New York
Convolutional Neural Networks in Visual Computing: A Concise Guide	Ragav Venkatesan; Baoxin Li	2017	Routledge
Guide to Convolutional Neural Networks: A Practical Application to Traffic-Sign Detection and Classification	Hamed Habibi Aghdam; Elnaz Jahani Heravi	1st ed. 2017	Springer International Publishing
Hands-On Convolutional Neural Networks with TensorFlow: Solve computer vision problems with modeling in TensorFlow and Python	Iffat Zafar; Giounona Tzanidou; Richard Burton; Nimesh Patel; Leonardo Araujo	2018	Packt Publishing Ltd
Tree-Based Convolutional Neural Networks: Principles and Applications	Lili Mou; Zhi Jin	1st ed. 2018	Springer Nature Singapore
Parallel algorithms: for digital image processing, computer vision and neural networks /	Pitas, Ioannis,	[1993], ©1993.	Wiley,
Neural networks for vision and image processing	Gail A. Carpenter; Stephen Grossberg	1992	MIT Press
Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics	Le Lu; Xiaosong Wang; Gustavo Carneiro; Lin Yang	1st ed. 2019	Springer International Publishing
Convolutional Neural Networks with Swift for Tensorflow: Image Recognition and Dataset Categorization	Brett Koonce	1st ed.	Apress
Advanced Applied Deep Learning: Convolutional Neural Networks and Object Detection	Umberto Michelucci	1st ed.	Apress
Neural Networks for Vision, Speech and Natural Language	R. Linggard; D.J. Myers; C. Nightingale	1992	Springer Netherlands
Practical Convolutional Neural Networks: Implement advanced deep learning models using Python	Mohit Sewak; Rezaul Karim; Pradeep Pujari	2018	Packt Publishing - ebooks Account
Deep learning for computer vision: expert techniques to train advanced neural networks using TensorFlow and Keras	Moore, Stephen; Shanmugamani, Rajalingappaa	2018	Packt.
Computer vision and fuzzy-neural systems /	Kulkarni, Arun D.,	[2001], ©2001.	Prentice Hall PTR,
Artificial Neural Networks: Theoretical Concepts (Ieee Computer Society Press Technology Series. Neural Networks)	V. Rao Vemuri	June 1988	Ieee Computer Society
Computer Vision: A Reference Guide	Katsushi Ikeuchi	2014	Springer US
Computer Vision: A Reference Guide	Ikeuchi; Katsushi \| Ikeuchi; Katsushi [Editor; Other]	0th ed. 2020	Springer International Publishing
Computer Vision: A Reference Guide	Katsushi Ikeuchi	2nd ed. 2021	Springer International Publishing
Neural Networks for Control	W. Thomas Miller; Richard S. Sutton; Paul J. Werbos	1995	MIT Press
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Convolutional Neural Networks for Computer Vision		Artificial Vision and Language Processing for Robotics: Create end-to-end systems that can power robots with artificial vision and deep learning techniques	Alvaro Morena Alberola, Gonzalo Molina Gallego, Unai Garay Maestre	2019	Packt Publishing
Convolutional neural networks for computer vision		Artificial vision and language processing for robotics: create end-to-end systems that can power robots with artificial vision and deep learning techniques /	Morena Alberola, Álvaro,; Molina Gallego, Gonzalo,; Garay Maestre, Unai,		Packt Publishing Ltd
Convolutional Neural Networks Implementations for Computer Vision	Paweł Michalski; Bogdan Ruszczak; Michał Tomaszewski	Biomedical Engineering and Neuroscience: Proceedings of the 3rd International Scientific Conference on Brain-Computer Interfaces, BCI 2018, March 13-14, Opole, Poland	Wojciech P. Hunek; Szczepan Paszkiel	1st ed. 2018	Springer International Publishing
Chapter 3: Convolutional Neural Networks for Computer Vision		PyTorch Artificial Intelligence Fundamentals	Jibin Mathew	2020	Packt Publishing
Chapter 7: Computer Vision with Convolutional Neural Networks		The Deep Learning with Keras Workshop: Learn how to define and train neural network models with just a few lines of code	Matthew Moocarme, Mahla Abdolahnejad, Ritesh Bhagwat	2020	Packt Publishing
Chapter 7: Computer Vision with Convolutional Neural Networks		Applied Deep Learning with Keras: Solve complex real-life problems with the simplicity of Keras	Bhagwat, Ritesh; Abdolahnejad, Mahla; Moocarme, Matthew	2019	Packt Publishing Limited
14 Deep Computer Vision Using Convolutional Neural Networks		Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow - Concepts, Tools, and Techniques to Build Intelligent Systems, 2nd Edition	Aurélien Géron	2019	O'Reilly
Chapter 7: Computer Vision with Convolutional Neural Networks		The Deep Learning with Keras Workshop: An Interactive Approach to Understanding Deep Learning with Keras, 2nd Edition	Matthew Moocarme, Mahla Abdolahnejad, Ritesh Bhagwat	2020	Packt Publishing
14 Deep Computer Vision Using Convolutional Neural Networks		Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow	Aurelien Geron	2019	O’reilly
Deep Neural Networks for Computer Vision	Sergey I. Nikolenko	Synthetic Data for Deep Learning	Sergey I. Nikolenko	1st ed. 2021	Springer International Publishing
ChapterÂ 14: Deep Computer Vision Using Convolutional Neural Networks		Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow - Concepts, Tools, and Techniques to Build Intelligent Systems, 2nd Edition	Aurélien Géron	2019	O'Reilly
Chapter 14: Deep Computer Vision Using Convolutional Neural Networks		Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow	Aurelien Geron	2019	O’reilly
Convolutional Neural Network in Computer Vision	D. Aishwarya; R.I. Minu	Applied Learning Algorithms for Intelligent IoT	Pethuru Raj Chelliah; Usha Sakthivel; Nagarajan Susila	2021	Routledge
Convolutional Recurrent Neural Networks for Computer Network Analysis	Jakub Nowak; Marcin Korytkowski; Rafał Scherer	Artificial Neural Networks and Machine Learning – ICANN 2019: Text and Time Series: 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019, Proceedings, Part IV	Igor V. Tetko; Věra Kůrková; Pavel Karpov; Fabian Theis	1st ed. 2019	Springer International Publishing
An Introduction to Deep Convolutional Neural Nets for Computer Vision	Suraj Srinivas; Ravi K. Sarvadevabhatla; Konda R. Mopuri; Nikita Prabhu; Srinivas S.S. Kruthiventi; R. Venkatesh Babu	Deep Learning for Medical Image Analysis	S. Kevin Zhou; Hayit Greenspan and Dinggang Shen	2017	Academic Press
Hand Gesture Recognition Using Convolutional Neural Networks and Computer Vision	V. V. Krishna Reddy; K. N. V. S. Bhuvana; K. UmaHarikka; D. Sai Teja; J. Suguna Kumari	Cognitive Informatics and Soft Computing: Proceeding of CISC 2021	Pradeep Kumar Mallick; Akash Kumar Bhoi; Paolo Barsocchi; Victor Hugo C. de Albuquerque	1st ed. 2022	Springer Nature Singapore
Convolutional Neural Networks	Nikhil Ketkar	Deep Learning with Python: A Hands-on Introduction	Nikhil Ketkar	1st ed.	Apress
Convolutional Neural Networks	Hamed Habibi Aghdam; Elnaz Jahani Heravi	Guide to Convolutional Neural Networks: A Practical Application to Traffic-Sign Detection and Classification	Hamed Habibi Aghdam; Elnaz Jahani Heravi	1st ed. 2017	Springer International Publishing
Convolutional Neural Networks	Robert H. Chen; Chelsea Chen	Artificial Intelligence: An Introduction for the Inquisitive Reader	Robert H. Chen; Chelsea C. Chen	2022	Routledge
Convolutional neural networks	Emil Hvitfeldt; Julia Silge	Supervised Machine Learning for Text Analysis in R	Emil Hvitfeldt; Julia Silge	2021	Routledge
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

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