"Deep Learning Using Convolutional Neural Networks"

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Book	Author(s)	Year	Publisher
Practical Convolutional Neural Networks: Implement advanced deep learning models using Python	Mohit Sewak; Rezaul Karim; Pradeep Pujari	2018	Packt Publishing - ebooks Account
Advanced Applied Deep Learning: Convolutional Neural Networks and Object Detection	Umberto Michelucci	1st ed.	Apress
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
Neural Networks and Deep Learning: A Textbook	Charu C. Aggarwal	1st ed. 2018	Springer International Publishing
Tree-Based Convolutional Neural Networks: Principles and Applications	Lili Mou; Zhi Jin	1st ed. 2018	Springer Nature Singapore
Deep Learning and Convolutional Neural Networks for Medical Image Computing: Precision Medicine, High Performance and Large-Scale Datasets	Le Lu; Yefeng Zheng; Gustavo Carneiro; Lin Yang	1st ed. 2017	Springer International Publishing
Deep Learning with TensorFlow: Explore Neural Networks with Python	Giancarlo Zaccone; Md. Rezaul Karim; Ahmed Menshawy	2017	Packt Publishing
Java Deep LearningCookbook - Train neural networks for classification, NLP, and reinforcement learning using Deeplearning4j.	Rahul Raj	2020	Packt
MATLAB Deep Learning: With Machine Learning, Neural Networks and Artificial Intelligence	Phil Kim	1st ed.	Apress
Convolutional Neural Networks in Visual Computing: A Concise Guide	Ragav Venkatesan; Baoxin Li	2017	Routledge
A Guide to Convolutional Neural Networks for Computer Vision	Salman Khan; Hossein Rahmani; Syed Afaq Ali Shah; Mohammed Bennamoun		Springer International Publishing
Applied Deep Learning: A Case-Based Approach to Understanding Deep Neural Networks	Umberto Michelucci	1st ed.	Apress
Neural networks with R: smart models using CNN, RNN, deep learning, and artificial intelligence principles /	Ciaburro, Giuseppe,; Venkateswaran, Balaji,		Packt Publishing Ltd
Deep Convolutional Neural Network for The Prognosis of Diabetic Retinopathy	A. Shanthini; Gunasekaran Manogaran; G. Vadivu	1st ed. 2023	Springer Nature Singapore
Introduction to Deep Learning and Neural Networks with Python™	Ahmed Gad and Fatima Ezzahra Jarmouni	2021	Academic Press
Learning Deep Learning: Theory and Practice of Neural Networks, Computer Vision, Natural Language Processing, and Transformers Using TensorFlow	Magnus Ekman	2021	Addison-Wesley Professional
Text mining using neural networks	Waleed A. Zaghloul	2005	University of Nebraska-Lincoln
Financial prediction using neural networks	Joseph S. Zirilli	1996	International Thomson Computer Press
Hands-On Deep Learning Architectures with Python: Create deep neural networks to solve computational problems using TensorFlow and Keras	Yuxi (Hayden) Liu, Saransh Mehta	2019	Packt Publishing
Efficient Processing of Deep Neural Networks	Vivienne Sze; Yu-Hsin Chen; Tien-Ju Yang; Joel S. Emer		Springer International Publishing
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Deep Learning Using Convolutional Neural Networks		The Hardware Hacking Handbook: Breaking Embedded Security with Hardware Attacks	Jasper van Woudenberg, Colin O'Flynn	2021	No Starch Press
Deep Learning Using Convolutional Neural Networks		The Hardware Hacking Handbook. Breaking Embedded Security With Hardware Attacks	Jasper van Woudenberg, Colin O’Flynn	2022	No Starch Press
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
Deep Learning and Convolutional Neural Networks		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
Deep Convolutional Neural Networks	Mahmoud Khaled Abd-Ellah; Ali Ismail Awad; Ashraf A. M. Khalaf; Hesham F. A. Hamed	Deep Learning in Computer Vision: Principles and Applications	Mahmoud Hassaballah; Ali Ismail Awad	2020	Routledge
Deep Convolutional Neural Networks		Digital Image Processing	Rafael C. Gonzalez, Richard E. Wods	2017	Pearson
Plant Disease Detection Using Deep Learning (Convolutional Neural Networks)	Nidhi Prashar; A. L. Sangal	Second International Conference on Image Processing and Capsule Networks: ICIPCN 2021	Joy Iong-Zong Chen; João Manuel R. S. Tavares; Abdullah M. Iliyasu; Ke-Lin Du	1st ed. 2022	Springer International Publishing
Deep learning and convolutional neural networks (CNNs)		OpenCV 4 Computer Vision Application Programming Cookbook: Build complex computer vision applications with OpenCV and C++, 4th Edition	David Millán Escrivá; Robert Laganiere	2019	Packt Publishing Ltd
Hebbian Learning Meets Deep Convolutional Neural Networks	Giuseppe Amato; Fabio Carrara; Fabrizio Falchi; Claudio Gennaro; Gabriele Lagani	Image Analysis and Processing – ICIAP 2019: 20th International Conference, Trento, Italy, September 9–13, 2019, Proceedings, Part I	Elisa Ricci; Samuel Rota Bulò; Cees Snoek; Oswald Lanz; Stefano Messelodi; Nicu Sebe	1st ed. 2019	Springer International Publishing
Cataract Detection Using Deep Convolutional Neural Networks	Aida Jones; K. Abisheek; R. Dinesh Kumar; M. Madesh	Soft Computing and Signal Processing: Proceedings of 4th ICSCSP 2021	V. Sivakumar Reddy; V. Kamakshi Prasad; Jiacun Wang; K.T.V. Reddy	1st ed. 2022	Springer Nature Singapore
Flowsheet Recognition using Deep Convolutional Neural Networks	Lukas Schulze Balhorn; Qinghe Gao; Dominik Goldstein; Artur M. Schweidtmanna	14 International Symposium on Process Systems Engineering	Yoshiyuki Yamashita; Manabu Kano	2022	Elsevier
56 Deep Convolutional Neural Networks		Deep Learning Apps of Short Range Radar	Avik Santra, Souvik Hazra	2020	Artech House Publishers
63 Deep Convolutional Neural Networks		Deep Learning Apps of Short Range Radar	Avik Santra, Souvik Hazra	2020	Artech House Publishers
Deep Convolutional Neural Networks (AlexNet)		Dive into Deep Learning	Aston Zhang, Zachary C. Lipton, Mu Li, and Alexander J. Smola	2021	d2l.ai
Deep Unitary Convolutional Neural Networks	Hao-Yuan Chang; Kang L. Wang	Artificial Neural Networks and Machine Learning – ICANN 2021: 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14–17, 2021, Proceedings, Part II	Igor Farkaš; Paolo Masulli; Sebastian Otte; Stefan Wermter	1st ed. 2021	Springer International 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
Medical Image Analysis Using Deep Learning Algorithm Convolutional Neural Networks	D. Raghu; Hrudaya Kumar Tripathy	Computer Networks, Big Data and IoT: Proceedings of ICCBI 2021	A. Pasumpon Pandian; Xavier Fernando; Wang Haoxiang	1st ed. 2022	Springer Nature Singapore
Sensible Autonomous Machine Using Deep Learning and Convolutional Neural Networks	Marialouis Diviya; Sankar Koushik Raghav; Ravichandran Parthiban; Shanmugam Udhayakumar	Advances in Smart System Technologies: Select Proceedings of ICFSST 2019	P. Suresh; U. Saravanakumar; Mohammed Saleh Hussein Al Salameh	1st ed. 2021	Springer Nature Singapore
Chapter 20: Deep Learning with Convolutional Neural Networks		Artificial Intelligence with Python: Your complete guide to building intelligent apps using Python 3. x and TensorFlow 2	Alberto Artasanchez; Prateek Joshi	2020	Packt Publishing
Natural Image Matting Using Deep Convolutional Neural Networks	Donghyeon Cho; Yu-Wing Tai; Inso Kweon	Computer Vision – ECCV 2016: 14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part II	Bastian Leibe; Jiri Matas; Nicu Sebe; Max Welling	1st ed. 2016	Springer International Publishing
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