"Deep Learning: A Visual Approach" - similar Books and Chapters

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Book	Author(s)	Year	Publisher
Deep Learning: A Visual Approach	Andrew Glassner	2021	No Starch Press
Deep learning: a practitioner's approach /	Patterson, Josh,; Gibson, Adam,		O'Reilly Media, Inc.
Deep Learning Architectures: A Mathematical Approach	Ovidiu Calin	1st ed. 2020	Springer International Publishing
Automatic Speech Recognition: A Deep Learning Approach	Dong Yu; Li Deng	2015	Springer London
Visual handicaps and learning: a developmental approach	Natalie Barraga	1976	Wadsworth Pub. Co.
Human Centric Visual Analysis with Deep Learning	Liang Lin; Dongyu Zhang; Ping Luo; Wangmeng Zuo	1st ed. 2020	Springer Nature Singapore
Deep Learning in Mining of Visual Content	Akka Zemmari; Jenny Benois-Pineau	1st ed. 2020	Springer International Publishing
Network Intrusion Detection using Deep Learning: A Feature Learning Approach	Kwangjo Kim; Muhamad Erza Aminanto; Harry Chandra Tanuwidjaja	1st ed. 2018	Springer Nature Singapore
Automated Software Engineering: A Deep Learning-Based Approach	Suresh Chandra Satapathy; Ajay Kumar Jena; Jagannath Singh; Saurabh Bilgaiyan	1st ed. 2020	Springer International Publishing
Practical MATLAB Deep Learning: A Project-Based Approach	Michael Paluszek; Stephanie Thomas	1st ed.	Apress
Applied Deep Learning: A Case-Based Approach to Understanding Deep Neural Networks	Umberto Michelucci	1st ed.	Apress
Deep Learning Illustrated: A Visual, Interactive Guide to Artificial Intelligence	Jon Krohn, Grant Beyleveld, Aglaé Bassens	2018	Addison-Wesley Professional
Visual Domain Adaptation in the Deep Learning Era	Gabriela Csurka; Timothy M. Hospedales; Mathieu Salzmann; Tatiana Tommasi		Springer International Publishing
Deep Learning in Visual Computing: Explanations and Examples	Hassan Ugail	2022	Routledge
Visual Cortex and Deep Networks: Learning Invariant Representations	Tomaso A. Poggio; Fabio Anselmi	2016	The MIT Press,
Visual Object Tracking from Correlation Filter to Deep Learning	Weiwei Xing; Weibin Liu; Jun Wang; Shunli Zhang; Lihui Wang; Yuxiang Yang; Bowen Song	1st ed. 2021	Springer Nature Singapore
Deep Reinforcement Learning with Guaranteed Performance: A Lyapunov-Based Approach	Yinyan Zhang; Shuai Li; Xuefeng Zhou	1st ed. 2020	Springer International Publishing
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
Visual Astronomy Under Dark Skies: A New Approach to Observing Deep Space	Antony Cooke	2005	Springer London
Deep Learning Pipeline: Building a Deep Learning Model with TensorFlow	Hisham El-Amir; Mahmoud Hamdy	1st ed.	Apress
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Towards a deep learning approach		Deep Learning with TensorFlow 2. 0 and Keras: Regression, ConvNets, GANs, RNNs, NLP & more with TF 2. 0 and the Keras API	Antonio Gulli, Amita Kapoor, Sujit Pal	2019	Packt
Deep approach to learning	Gill Nicholls	Developing Teaching and Learning in Higher Education	Gill Nicholls	2001	Routledge
821 Deep Learning Approach		Machine Learning Applications in Electromagnetics and Antenna Array Processing	Manel Martínez-ramón, Arjun Gupta, José Luis Rojo-álvarez, Christos Christodoulou	2021	Artech House
831 Deep Learning Approach		Machine Learning Applications in Electromagnetics and Antenna Array Processing	Manel Martínez-ramón, Arjun Gupta, José Luis Rojo-álvarez, Christos Christodoulou	2021	Artech House
841 Deep Learning Approach		Machine Learning Applications in Electromagnetics and Antenna Array Processing	Manel Martínez-ramón, Arjun Gupta, José Luis Rojo-álvarez, Christos Christodoulou	2021	Artech House
643 Deep Learning Approach		Cyber-Physical Systems: Foundations and Techniques	Uzzal Sharma (editor), Parma Nand (editor), Jyotir Moy Chatterjee (editor), Vishal Jain (editor), Noor Zaman Jhanjhi (editor), R. Sujatha (editor)	2022	Wiley-Scrivener
Deep learning and visual perception	Zebang Shen; Tingting Yu; Peng Zhi; Rui Zhao	Theories and Practices of Self-Driving Vehicles	Binbin Yong; Peng Zhi; Qingguo Zhou; Rui Zhao andZebang Shen	2022	Elsevier
Deep Learning for Visual Cognition		Computational Models for Cognitive Vision	Hiranmay Ghosh	2020	Wiley-IEEE Press
Rainfall Prediction: A Deep Learning Approach	Emilcy Hernández; Victor Sanchez-Anguix; Vicente Julian; Javier Palanca; Néstor Duque	Hybrid Artificial Intelligent Systems: 11th International Conference, HAIS 2016, Seville, Spain, April 18-20, 2016, Proceedings	Francisco Martínez-Álvarez; Alicia Troncoso; Héctor Quintián; Emilio Corchado	1st ed. 2016	Springer International Publishing
Deep Learning Approach for IDS	Zhiqiang Liu; Mohi-Ud-Din Ghulam; Ye Zhu; Xuanlin Yan; Lifang Wang; Zejun Jiang et al.	Fourth International Congress on Information and Communication Technology: ICICT 2019, London, Volume 1	Xin-She Yang; Simon Sherratt; Nilanjan Dey; Amit Joshi	1st ed. 2020	Springer Nature Singapore
Evolutionary Approach to Deep Learning	Hitoshi Iba	Evolutionary Approach to Machine Learning and Deep Neural Networks: Neuro-Evolution and Gene Regulatory Networks	Hitoshi Iba	1st ed. 2018	Springer Nature Singapore
Ransomware Threat Detection: A Deep Learning Approach	Kassidy Marsh; Hamed Haddadpajouh	Handbook of Big Data Analytics and Forensics	Kim-Kwang Raymond Choo; Ali Dehghantanha	1st ed. 2022	Springer International Publishing
A Deep Learning Approach to Radar Extrapolation	Lei Yi; Wei Tian; Xiang Wang; Xiaolong Xu	Machine Learning for Cyber Security: Third International Conference, ML4CS 2020, Guangzhou, China, October 8–10, 2020, Proceedings, Part III	Xiaofeng Chen; Hongyang Yan; Qiben Yan; Xiangliang Zhang	1st ed. 2020	Springer International Publishing
Lung Cancer Detection: A Deep Learning Approach	Siddharth Bhatia; Yash Sinha; Lavika Goel	Soft Computing for Problem Solving: SocProS 2017, Volume 2	Jagdish Chand Bansal; Kedar Nath Das; Atulya Nagar; Kusum Deep; Akshay Kumar Ojha	1st ed. 2019	Springer Nature Singapore
A Deep Learning Approach for Tongue Diagnosis	Meng Xiao; Guozheng Liu; Yu Xia; Hao Xu	The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2019)	Aboul Ella Hassanien; Ahmad Taher Azar; Tarek Gaber; Roheet Bhatnagar; Mohamed F. Tolba	1st ed. 2020	Springer International Publishing
Multistrategical Approach in Visual Learning	Hiroki Nomiya; Kuniaki Uehara	Computer Vision -- ACCV 2007: 8th Asian Conference on Computer Vision, Tokyo, Japan, November 18-22, 2007, Proceedings, Part I	Yasushi Yagi; Sing Bing Kang; In So Kweon; Hongbin Zha	2007	Springer Berlin Heidelberg
Deep Learning Models for Visual Computing	Hassan Ugail	Deep Learning in Visual Computing: Explanations and Examples	Hassan Ugail	2022	Routledge
Deep Learning Based Visual Object Tracking	Weiwei Xing; Weibin Liu; Jun Wang; Shunli Zhang; Lihui Wang; Yuxiang Yang et al.	Visual Object Tracking from Correlation Filter to Deep Learning	Weiwei Xing; Weibin Liu; Jun Wang; Shunli Zhang; Lihui Wang; Yuxiang Yang; Bowen Song	1st ed. 2021	Springer Nature Singapore
Deep Architectures in Visual Transfer Learning	Walid Gomaa	Vision, Sensing and Analytics: Integrative Approaches	Md Atiqur Rahman Ahad; Atsushi Inoue	1st ed. 2021	Springer International Publishing
Visual Tracking Based on Deep Learning	Huchuan Lu; Dong Wang	Online Visual Tracking	Huchuan Lu; Dong Wang	1st ed. 2019	Springer Nature Singapore
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries