Deep Learning And Its Applications
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Deep Learning And Its Applications
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Author : Dr. S. Manikandan
language : en
Publisher: Quing Publications
Release Date : 2022-12-30
Deep Learning And Its Applications written by Dr. S. Manikandan and has been published by Quing Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-30 with Computers categories.
Deep Learning and its Applications book chapter is intended to provide various deep insight about Deep learning in various applications. According to current Industry 4.0 standards, Deep learning on the emerging research area to give various services to IT and ITeS. In this book chapter various real time applications are taken for evaluating deep learning approach. Deep Learning is the subset of machine learning which has further learned results of artificial intelligent applications. Artificial Intelligent is the current scenario for making effective decisions. Here the applications are medical image processing, moving objects, image analysis, classification, clustering, prediction, and restoration used to identify various results. Based on each chapter different problems are taken for evaluation and apply different deep learning principles to find accuracy, precision, and score functions. Supervised and Unsupervised learning techniques, TensorFlow, Yolo classifier and Colabs are used to simulate the applications. In this book chapters are very useful for researchers, students, and faculty community to learn about Deep Learning in current trends.
Deep Learning And Its Applications
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Author : N. Deshai
language : en
Publisher: Cipher Publisher
Release Date : 2024-09-26
Deep Learning And Its Applications written by N. Deshai and has been published by Cipher Publisher this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-26 with Study Aids categories.
"Deep Learning and Its Applications" covers one of the most active AI disciplines. This book explains deep learning technologies' basics and advanced methods. The basics of neural networks, training models, and deep learning research are covered. This book caters both beginners and experts by focussing on theory and practice. The book starts with a basic introduction to deep learning, covering neural networks and their methods. Chapters on optimisation methodologies, model assessment, and emerging trends are more sophisticated. Each chapter provides practical examples and real-world applications of deep learning to handle healthcare, financial, and autonomous system problems. The book also provides thorough case studies and examples of deep learning in different sectors to emphasise its practicality. The impact of deep learning on image and audio recognition, predictive analytics, and natural lan-guage processing will be shown. These case studies show deep learning technologies' promise and limits, providing a balanced view of their effect and future possibilities. For instructional and accessible learning, "Deep Learning and Its Applications" provides visual illustrations, hands-on activities, and key takeaways. This book gives students, researchers, and industry professionals the knowledge and abilities to use deep learning in their projects and learn more about this quickly expanding topic.
Deep Learning And Its Applications Using Python
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Author : Niha Kamal Basha
language : en
Publisher: John Wiley & Sons
Release Date : 2023-10-31
Deep Learning And Its Applications Using Python written by Niha Kamal Basha and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-31 with Computers categories.
This book thoroughly explains deep learning models and how to use Python programming to implement them in applications such as NLP, face detection, face recognition, face analysis, and virtual assistance (chatbot, machine translation, etc.). It provides hands-on guidance in using Python for implementing deep learning application models. It also identifies future research directions for deep learning.
Ubiquitous Machine Learning And Its Applications
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Author : Kumar, Pradeep
language : en
Publisher: IGI Global
Release Date : 2017-03-03
Ubiquitous Machine Learning And Its Applications written by Kumar, Pradeep and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-03 with Computers categories.
Constant improvements in technological applications have allowed for more opportunities to develop automated systems. This not only leads to higher success in smart data analysis, but also ensures that technological progression will continue. Ubiquitous Machine Learning and its Applications is a pivotal reference source for the latest research on the issues and challenges machines face in the new millennium. Featuring extensive coverage on relevant areas such as computational advertising, software engineering, and bioinformatics, this publication is an ideal resource for academicians, graduate students, engineering professionals, and researchers interested in discovering how they can apply these advancements to various disciplines.
Machine Learning And Its Application A Quick Guide For Beginners
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Author : Indranath Chatterjee
language : en
Publisher: Bentham Science Publishers
Release Date : 2021-12-22
Machine Learning And Its Application A Quick Guide For Beginners written by Indranath Chatterjee and has been published by Bentham Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-22 with Computers categories.
Machine Learning and Its Application: A Quick Guide for Beginners aims to cover most of the core topics required for study in machine learning curricula included in university and college courses. The textbook introduces readers to central concepts in machine learning and artificial intelligence, which include the types of machine learning algorithms and the statistical knowledge required for devising relevant computer algorithms. The book also covers advanced topics such as deep learning and feature engineering. Key features: - 8 organized chapters on core concepts of machine learning for learners - Accessible text for beginners unfamiliar with complex mathematical concepts - Introductory topics are included, including supervised learning, unsupervised learning, reinforcement learning and predictive statistics - Advanced topics such as deep learning and feature engineering provide additional information - Introduces readers to python programming with examples of code for understanding and practice - Includes a summary of the text and a dedicated section for references Machine Learning and Its Application: A Quick Guide for Beginners is an essential book for students and learners who want to understand the basics of machine learning and equip themselves with the knowledge to write algorithms for intelligent data processing applications.
Fundamentals Of Machine Learning And Its Applications
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Author : Ms. Priyanka Sharma
language : en
Publisher: Academic Guru Publishing House
Release Date : 2023-09-04
Fundamentals Of Machine Learning And Its Applications written by Ms. Priyanka Sharma and has been published by Academic Guru Publishing House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-04 with Study Aids categories.
Fundamentals of Machine Learning and Its Applications serve as an indispensable guide for both novices and seasoned professionals delving into the intricate realm of machine learning. Authored with precision and clarity, this book navigates the multifaceted landscape of machine learning, unravelling its core concepts, methodologies, and practical implementations. The book adeptly commences by elucidating the foundational principles that underpin machine learning, progressively leading the reader through a comprehensive journey of understanding. It demystifies intricate algorithms, presenting them in a digestible manner, while also shedding light on the mathematical and statistical underpinnings that govern their functioning. One of the distinguishing features of this literary work lies in its emphasis on real-world applications. Through illuminating case studies and examples spanning diverse domains, including image recognition, natural language processing, and recommendation systems, the book bridges the gap between theory and application. This allows readers to not only grasp theoretical nuances but also to harness this knowledge in pragmatic scenarios. In a rapidly evolving field, staying abreast of the latest trends and advancements is crucial. The book acknowledges this by incorporating a section dedicated to contemporary developments, such as deep learning and neural networks. By doing so, it equips learners with insights that reflect the current state of the discipline. Fundamentals of Machine Learning and Its Applications stand as an indispensable resource, fostering a holistic comprehension of machine learning's bedrock principles and its diverse real-world implementations. It caters to eager learners aiming to fortify their expertise in this transformative domain.
Deep Learning And Its Applications For Vehicle Networks
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Author : Fei Hu
language : en
Publisher: CRC Press
Release Date : 2023-05-12
Deep Learning And Its Applications For Vehicle Networks written by Fei Hu and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-12 with Computers categories.
Deep Learning (DL) is an effective approach for AI-based vehicular networks and can deliver a powerful set of tools for such vehicular network dynamics. In various domains of vehicular networks, DL can be used for learning-based channel estimation, traffic flow prediction, vehicle trajectory prediction, location-prediction-based scheduling and routing, intelligent network congestion control mechanism, smart load balancing and vertical handoff control, intelligent network security strategies, virtual smart and efficient resource allocation and intelligent distributed resource allocation methods. This book is based on the work from world-famous experts on the application of DL for vehicle networks. It consists of the following five parts: (I) DL for vehicle safety and security: This part covers the use of DL algorithms for vehicle safety or security. (II) DL for effective vehicle communications: Vehicle networks consist of vehicle-to-vehicle and vehicle-to-roadside communications. This part covers how Intelligent vehicle networks require a flexible selection of the best path across all vehicles, adaptive sending rate control based on bandwidth availability and timely data downloads from a roadside base-station. (III) DL for vehicle control: The myriad operations that require intelligent control for each individual vehicle are discussed in this part. This also includes emission control, which is based on the road traffic situation, the charging pile load is predicted through DL andvehicle speed adjustments based on the camera-captured image analysis. (IV) DL for information management: This part covers some intelligent information collection and understanding. We can use DL for energy-saving vehicle trajectory control based on the road traffic situation and given destination information; we can also natural language processing based on DL algorithm for automatic internet of things (IoT) search during driving. (V) Other applications. This part introduces the use of DL models for other vehicle controls. Autonomous vehicles are becoming more and more popular in society. The DL and its variants will play greater roles in cognitive vehicle communications and control. Other machine learning models such as deep reinforcement learning will also facilitate intelligent vehicle behavior understanding and adjustment. This book will become a valuable reference to your understanding of this critical field.
Deep Learning And Its Applications Using Python
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Author : Niha Kamal Basha
language : en
Publisher: John Wiley & Sons
Release Date : 2023-09-27
Deep Learning And Its Applications Using Python written by Niha Kamal Basha and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-27 with Computers categories.
DEEP LEARNING AND ITS APPLICATIONS USING PYTHON This practical book gives a detailed description of deep learning models and their implementation using Python programming relating to computer vision, natural language processing, and other applications. This book thoroughly explains deep learning models and how to use Python programming to implement them in applications such as NLP, face detection, face recognition, face analysis, and virtual assistance (chatbot, machine translation, etc.). It provides hands-on guidance in using Python for implementing deep learning application models. It also identifies future research directions for deep learning. Readers/users will discover A precise description of deep learning history, fundamental concepts, and background information relating to deep learning; A detailed introduction to several concepts including tensorflow and keras, starting from the fundamentals to the application-based concept implementation using Python; Explanations of multilayer perceptron, convolutional neural network, recurrent neural network, and long short-term memory in terms of applications like chatbot, face detection and recognition; Advanced deep learning concepts along with their future research advancements; Assist in building the reader’s understanding through intuitive explanations and practical examples by exploring challenging concepts in the related applications of computer vision, natural language processing, and other models. Audience The book is ideal for computer science researchers, industry professionals, as well as postgraduate and undergraduate students who want to learn how to program deep learning models using Python.
Computational Science And Its Applications
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Author : Anupama Chadha
language : en
Publisher: CRC Press
Release Date : 2024-01-09
Computational Science And Its Applications written by Anupama Chadha and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-09 with Computers categories.
This new volume explores the overlapping behavior of some aspects of computational science, focusing on the intersection of computing hardware, algorithms, mathematics, and data management components. The chapters discuss the various application areas of the computational science techniques such as artificial intelligence, machine learning, data science, quantum computing, image processing, evolutionary algorithms, process simulation, deep learning, big data analysis, etc.
Exploring Deep Learning Neural Networks And Their Applications
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Author : Renata Sloane
language : en
Publisher: Independently Published
Release Date : 2025-04-19
Exploring Deep Learning Neural Networks And Their Applications written by Renata Sloane and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-19 with Computers categories.
Exploring Deep Learning: Neural Networks and Their Applications is the perfect beginner's guide to understanding the powerful world of deep learning and how it's revolutionizing industries. Whether you're new to the field or looking to deepen your knowledge, this book takes you step-by-step through the core concepts of neural networks and their transformative applications in areas like image recognition, natural language processing, and more. Deep learning, a subset of machine learning, has become essential in solving complex problems that traditional models struggle with. With clear, accessible explanations and hands-on examples, this book covers everything from the basics of neural networks to advanced architectures like convolutional neural networks (CNNs) and recurrent neural networks (RNNs). You'll explore how these networks work, how they learn from data, and how to apply them to real-world problems. Dive into practical applications, such as automated image tagging, sentiment analysis, and language translation, and learn how deep learning models are reshaping fields such as healthcare, finance, and entertainment. With Python and popular deep learning frameworks like TensorFlow and Keras, you'll have the tools to start building your own neural network models. By the end of this book, you'll have a solid understanding of deep learning and the skills to apply neural networks to a variety of challenging and exciting problems.