"Employment of Pre-trained Deep Learning Models for Date Classification: A Comparative Study"

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Book	Author(s)	Year	Publisher
Deep Learning Models for Medical Imaging	KC Santosh; Nibaran Das and Swarnendu Ghosh	2021	Academic Press
Deep Learning for Hyperspectral Image Analysis and Classification	Linmi Tao; Atif Mughees	1st ed. 2021	Springer Nature Singapore
Deep Learning for Natural Language Processing: Develop Deep Learning Models for your Natural Language Problems	Jason Brownlee	2017	Independently Published
Advanced Analytics and Deep Learning Models	Shaveta Malik; Amit Kumar Tyagi; Archana Mire	2022	John Wiley & Sons
Inside Deep Learning: Math, Algorithms, Models	Edward Raff	2022	Manning Publications
Deep Learning with Python: Learn Best Practices of Deep Learning Models with PyTorch	Nikhil Ketkar; Jojo Moolayil	2nd ed.	Apress
Emerging Technologies for Healthcare - Internet of Things and Deep Learning Models	Monika Mangla; Nonita Sharma; Vaishali Wadhwa; Thirunavukkarasu K; Shahnawaz Khan	2021	John Wiley & Sons
Multi-faceted Deep Learning: Models and Data	Jenny Benois-Pineau; Akka Zemmari	1st ed. 2021	Springer International Publishing
Inside Deep Learning: Math, Algorithms, Models [MEAP]	Edward Raff	2020	Manning Publications
The Common Law Employment Relationship: A Comparative Study	Gordon Anderson; Douglas Brodie; Joellen Riley	2017	Edward Elgar Publishing
Business Student's Handbook: Learning Skills for Study & Employment	Sheila Cameron	February 10, 2002	Financal Times Management
Machine Learning Models and Algorithms for Big Data Classification: Thinking with Examples for Effective Learning	Shan Suthaharan	1st ed. 2016	Springer US
Deep Learning with Keras: Implementing deep learning models and neural networks with the power of Python	Antonio Gulli, Sujit Pal	2017	Packt Publishing
Industrialization and employment in developing countries: a comparative study	Kanhaya L. Gupta	1989	Routledge
Building Machine Learning and Deep Learning Models on Google Cloud Platform: A Comprehensive Guide for Beginners	Ekaba Bisong	1st ed.	Apress
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
The Reemergence of Self-Employment: A Comparative Study of Self-Employment Dynamics and Social Inequality	Richard Arum; Walter Müller	2004	Princeton University Press
The reemergence of self-employment: a comparative study of self-employment dynamics and social inequality /	Arum, Richard.; Müller, Walter,	[2004], ©2004.	Princeton University Press,
Introduction to Deep Learning Using R: A Step-by-Step Guide to Learning and Implementing Deep Learning Models Using R	Taweh Beysolow II	1st ed.	Apress
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Employment of Pre-trained Deep Learning Models for Date Classification: A Comparative Study	Aiman Al-Sabaawi; Reem Ibrahim Hasan; Mohammed A. Fadhel; Omran Al-Shamma; Laith Alzubaidi	Intelligent Systems Design and Applications: 20th International Conference on Intelligent Systems Design and Applications (ISDA 2020) held December 12-15, 2020	Ajith Abraham; Vincenzo Piuri; Niketa Gandhi; Patrick Siarry; Arturas Kaklauskas; Ana Madureira	1st ed. 2021	Springer International Publishing
Tuberculosis Classification Using Pre-trained Deep Learning Models	G. Seshu Babu; T. K. Sachin Saj; V. Sowmya; K. P. Soman	Advances in Automation, Signal Processing, Instrumentation, and Control: Select Proceedings of i-CASIC 2020	Venkata Lakshmi Narayana Komanapalli; N. Sivakumaran; Santoshkumar Hampannavar	1st ed. 2021	Springer Nature Singapore
Pre-trained deep learning models for content-based image classification and retrieval	Dnyanda N. Hire; A. V. Patil	Application of Communication Computational Intelligence and Learning: Proceeding of National Conference on Communication, Computational Intelligence and Learning (NCCC IL 2022), January 12th–13th Pune, India	Sangeeta Jadhav; Rahul Desai; Ashwini Sapkal	2022	Routledge
52 Classification withÂ Pre-trained Models		Artificial Intelligence Programming with Python from Zero to Hero	Perry Xiao	2022	John WIley
Pre-Trained Models		The Deep Learning Workshop: Learn the skills you need to develop your own next-generation deep learning models with TensorFlow and Keras: Take a. . . that can recognize images and interpret text	Mirza Rahim Baig, Thomas V. Joseph, Nipun Sadvilkar, Mohan Kumar Silaparasetty, Anthony So	2020	Packt Publishing
Pre-trained Models		GPT-3: Building Innovative NLP Products Using Large Language Models	Sandra Kublik; Shubham Saboo	2022	O'Reilly Media, Inc.
Pre-trained models		Beginning with Deep Learning Using TensorFlow: A Beginners Guide to TensorFlow and Keras for Practicing Deep Learning Principles and Applications (English Edition)	Mohan Kumar Silaparasetty	2022	BPB Publications
Pre-trained Models		GPT-3: Building Innovative NLP Products Using Large Language Models	Sandra Kublik, Shubham Saboo	2022	O'Reilly Media
Comparative Study of Deep Learning Models for Detection and Classification of Intracranial Hemorrhage	Lale El Mouna; Hassan Silkan; Youssef Haynf; Amal Tmiri; Abdellatif Dahmouni	Business Intelligence: 7th International Conference, CBI 2022, Khouribga, Morocco, May 26–28, 2022, Proceedings	Mohamed Fakir; Mohamed Baslam; Rachid El Ayachi	1st ed. 2022	Springer International Publishing
Comparative Analysis of Deep Learning Models for Myanmar Text Classification	Myat Sapal Phyu; Khin Thandar Nwet	Intelligent Information and Database Systems: 12th Asian Conference, ACIIDS 2020, Phuket, Thailand, March 23–26, 2020, Proceedings, Part I	Ngoc Thanh Nguyen; Kietikul Jearanaitanakij; Ali Selamat; Bogdan Trawiński; Suphamit Chittayasothorn	1st ed. 2020	Springer International Publishing
A Comparative Study of Deep Learning Models for Detecting Pulmonary Embolism	Aditya Varshney; Arnav Bansal; Anshuman Agarwal; Vipul Kumar Mishra; Tapas Badal	Advanced Computing: 11th International Conference, IACC 2021, Msida, Malta, December 18–19, 2021, Revised Selected Papers	Deepak Garg; Sarangapani Jagannathan; Ankur Gupta; Lalit Garg; Suneet Gupta	1st ed. 2022	Springer International Publishing
A Comparative Study of Deep Learning Models for Word-Sense Disambiguation	Arpit Jadiya; Thejaswini Dondemadahalli Manjunath; Biju R. Mohan	Advanced Machine Intelligence and Signal Processing	Deepak Gupta; Koj Sambyo; Mukesh Prasad; Sonali Agarwal	1st ed. 2022	Springer Nature Singapore
Unregistered Multiview Mammogram Analysis with Pre-trained Deep Learning Models	Gustavo Carneiro; Jacinto Nascimento; Andrew P. Bradley	Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015: 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part III	Nassir Navab; Joachim Hornegger; William M. Wells; Alejandro Frangi	1st ed. 2015	Springer International Publishing
A Comparative Study of Deep Learning Techniques for Farmer Query Text Classification	K. Kanchanadevi; J. Arun Pandian; S. Saranya	Proceedings of International Conference on Communication and Artificial Intelligence: ICCAI 2021	Vishal Goyal; Manish Gupta; Seyedali Mirjalili; Aditya Trivedi	1st ed. 2022	Springer Nature Singapore
Comparative Study of Pre-trained Models on Cotton Plant Disease Detection Using Transfer Learning	Satyam Kumar; Dayima Musharaf; Anil Kumar Sagar	Advanced Computing and Intelligent Technologies: Proceedings of ICACIT 2022	Rabindra Nath Shaw; Sanjoy Das; Vincenzo Piuri; Monica Bianchini	1st ed. 2022	Springer Nature Singapore
A Comparative Study of Efficient Classification Models	Roopashri Shetty; M. Geetha; Dinesh U. Acharya; G. Shyamala	Recent Advances in Artificial Intelligence and Data Engineering: Select Proceedings of AIDE 2020	Pushparaj Shetty D.; Surendra Shetty	1st ed. 2022	Springer Nature Singapore
Using pre-trained models		Intelligent Mobile Projects with TensorFlow: Build 10 Wide-Ranging Apps with TensorFlow Mobile and Lite for iOS, Android, and Raspberry Pi	Jeff Tang	2018	Packt Publishing
Pre-trained transformer models		Beginning with Deep Learning Using TensorFlow: A Beginners Guide to TensorFlow and Keras for Practicing Deep Learning Principles and Applications (English Edition)	Mohan Kumar Silaparasetty	2022	BPB Publications
Using pre-trained models		Python Data Science Essentials	Luca Massaron; Alberto Boschetti; O'Reilly for Higher Education (Firm)	2018	Packt Publishing
A Comparative Study for Depression Prediction Using Machine Learning Classification Models	Rwittika Pramanik; Sandali Khare; G. M. Harshvardhan; Mahendra Kumar Gourisaria	Advances in Data and Information Sciences: Proceedings of ICDIS 2021	Shailesh Tiwari; Munesh C. Trivedi; Mohan Lal Kolhe; K.K. Mishra; Brajesh Kumar Singh	1st ed. 2022	Springer Nature Singapore
Chapter	Author(s)	Book	Book Authors	Year	Publisher

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