"Development and Analysis of Deep Learning Architectures"

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Book	Author(s)	Year	Publisher
Development and Analysis of Deep Learning Architectures	Witold Pedrycz; Shyi-Ming Chen	1st ed. 2020	Springer International Publishing
Deep Learning: Concepts and Architectures	Witold Pedrycz; Shyi-Ming Chen	1st ed. 2020	Springer International Publishing
Hardware Architectures for Deep Learning	Masoud Daneshtalab (editor), Mehdi Modarressi (editor)	2020	INSTITUTION OF ENGINEERING & T
Math and Architectures of Deep Learning Version 10	Krishnendu Chaudhury	2021	Manning Publications
Deep Learning Architectures: A Mathematical Approach	Ovidiu Calin	1st ed. 2020	Springer International Publishing
Deep In-memory Architectures for Machine Learning	Mingu Kang; Sujan Gonugondla; Naresh R. Shanbhag	1st ed. 2020	Springer International Publishing
Roadside Video Data Analysis: Deep Learning	Brijesh Verma; Ligang Zhang; David Stockwell	1st ed. 2017	Springer Nature Singapore
Deep Learning for Medical Image Analysis	S. Kevin Zhou; Hayit Greenspan and Dinggang Shen	2017	Academic Press
Big Data Analysis and Deep Learning Applications: Proceedings of the First International Conference on Big Data Analysis and Deep Learning	Thi Thi Zin; Jerry Chun-Wei Lin	1st ed. 2019	Springer Nature Singapore
Sentimental Analysis and Deep Learning: Proceedings of ICSADL 2021	Subarna Shakya; Valentina Emilia Balas; Sinchai Kamolphiwong; Ke-Lin Du	1st ed. 2022	Springer Nature Singapore
Modern Deep Learning Design and Application Development: Versatile Tools to Solve Deep Learning Problems	Andre Ye	1st ed.	Apress
Malware Analysis Using Artificial Intelligence and Deep Learning	Mark Stamp; Mamoun Alazab; Andrii Shalaginov	1st ed. 2021	Springer International Publishing
Deep Learning for Hyperspectral Image Analysis and Classification	Linmi Tao; Atif Mughees	1st ed. 2021	Springer Nature Singapore
Computer Vision Using Deep Learning: Neural Network Architectures with Python and Keras	Vaibhav Verdhan	1st ed.	Apress
Human Centric Visual Analysis with Deep Learning	Liang Lin; Dongyu Zhang; Ping Luo; Wangmeng Zuo	1st ed. 2020	Springer Nature Singapore
Deep Learning-Based Approaches for Sentiment Analysis	Basant Agarwal; Richi Nayak; Namita Mittal; Srikanta Patnaik	1st ed. 2020	Springer Nature Singapore
Sensor Data Analysis and Management: The Role of Deep Learning	A. Suresh; R. Udendhran; M. S. Irfan Ahmed	2021	Wiley-IEEE Press
Embedded Deep Learning: Algorithms, Architectures and Circuits for Always-on Neural Network Processing	Bert Moons; Daniel Bankman; Marian Verhelst	1st ed. 2019	Springer International Publishing
Learning Architectures: Building Organizational and Individual Learning	Warren R. Wilhelm	January 10, 2003	GPA Press
Deep Learning in Medical Image Analysis: Challenges and Applications	Gobert Lee; Hiroshi Fujita	1st ed. 2020	Springer International Publishing
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Deep Learning Architectures		Encyclopedia of Computational Neuroscience	Dieter Jäger; Ranu Jung	2nd ed. 2022	Springer New York
Deep Learning Architectures		Reinforcement Learning: Industrial Applications of Intelligent Agents	Phil Winder	2020	O'Reilly Media
Deep Learning Architectures		Tensorflow for Deep Learning: From Linear Regression to Reinforcement Learning	Bharath Ramsundar	2018	O'Reilly Media
Deep Learning Architectures	Mohammad-Parsa Hosseini; Senbao Lu; Kavin Kamaraj; Alexander Slowikowski; Haygreev C. Venkatesh	Deep Learning: Concepts and Architectures	Witold Pedrycz; Shyi-Ming Chen	1st ed. 2020	Springer International Publishing
Math and Architectures of Deep Learning		Exploring Math for Programmers & Data Scientists	Paul Orland	2021-06-29	Simon and Schuster
Supervised Deep Learning Architectures	M. Arif Wani; Farooq Ahmad Bhat; Saduf Afzal; Asif Iqbal Khan	Advances in Deep Learning	M. Arif Wani; Farooq Ahmad Bhat; Saduf Afzal; Asif Iqbal Khan	1st ed. 2020	Springer Nature Singapore
Unsupervised Deep Learning Architectures	M. Arif Wani; Farooq Ahmad Bhat; Saduf Afzal; Asif Iqbal Khan	Advances in Deep Learning	M. Arif Wani; Farooq Ahmad Bhat; Saduf Afzal; Asif Iqbal Khan	1st ed. 2020	Springer Nature Singapore
63 Deep Learning Architectures		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
An Analysis of Deep Learning Architectures for Cancer Diagnosis	Galo Enrique Valverde Landivar; Jorge André Bedor Caballero; Daniel Humberto Plua Moran; Miguel Angel Quiroz Martinez; Maikel Yelandi Leyva Vazquez	Artificial Intelligence, Computer and Software Engineering Advances: Proceedings of the CIT 2020 Volume 1	Miguel Botto-Tobar; Henry Cruz; Angela Díaz Cadena	1st ed. 2021	Springer International Publishing
21 Basic architectures of deep learning		Deep Learning for Natural Language Processing	Stephan Raaijmakers
Deep learning architectures for IoT		Hands-on deep learning for IoT: train neural network models to develop intelligent IoT applications	Karim, Md. Rezaul; Razzaque, Mohammad Abdur	2019	Packt Publishing
Section 2: Deep Learning Architectures		Hands-On One-shot Learning with Python: Learn to implement fast and accurate deep learning models with fewer training samples using PyTorch	Shruti Jadon, Ankush Garg	2020	Packt Publishing
3 Understanding Deep Learning Architectures		Hands-On Transfer Learning with Python: Implement advanced deep learning and neural network models using TensorFlow and Keras	Dipanjan Sarkar; Raghav Bali; Tamoghna Ghosh	2018	Packt Publishing
Performance Analysis of Hybrid Architectures of Deep Learning for Indonesian Sentiment Analysis	Theresia Gowandi; Hendri Murfi; Siti Nurrohmah	Soft Computing in Data Science: 6th International Conference, SCDS 2021, Virtual Event, November 2–3, 2021, Proceedings	Azlinah Mohamed; Bee Wah Yap; Jasni Mohamad Zain; Michael W. Berry	1st ed. 2021	Springer Nature Singapore
Analysis of Regularization in Deep Learning Models on Testbed Architectures	Félix Armando Mejía Cajicá; John A. García Henao; Carlos Jaime Barrios Hernández; Michel Riveill	High Performance Computing: 7th Latin American Conference, CARLA 2020, Cuenca, Ecuador, September 2–4, 2020, Revised Selected Papers	Sergio Nesmachnow; Harold Castro; Andrei Tchernykh	1st ed. 2021	Springer International Publishing
Math and Architectures of Deep Learning MEAP V10		Math and Architectures of Deep Learning Version 10	Krishnendu Chaudhury	2021	Manning Publications
Deep Architectures	Marco Gori	Machine Learning	Marco Gori	2018	Morgan Kaufmann
Deep architectures		OpenCV with Python blueprints: ǂb design and develop advanced computer vision projects using OpenCV with Python / ǂc Michael Beyeler	Beyeler, Michael ǂe author	2015	ǂb Packt Publishing
Deep Reinforcement Learning in Serious Games: Analysis and Design of Deep Neural Network Architectures	Aline Dobrovsky; Cezary W. Wilczak; Paul Hahn; Marko Hofmann; Uwe M. Borghoff	Computer Aided Systems Theory – EUROCAST 2017: 16th International Conference, Las Palmas de Gran Canaria, Spain, February 19-24, 2017, Revised Selected Papers, Part II	Roberto Moreno-Díaz; Franz Pichler; Alexis Quesada-Arencibia	1st ed. 2018	Springer International Publishing
Chapter 2: Deep Learning Architectures and Tools		Deep Learning Applications and Intelligent Decision Making in Engineering	Balamurugan Shanmugam (editor), Dinesh Goyal (editor), Iyswarya Annapoorani (editor), Ravi Samikannu (editor)	2020	IGI Global
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

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