Shallow Learning Vs Deep Learning

DOWNLOAD

Download Shallow Learning Vs Deep Learning PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Shallow Learning Vs Deep Learning book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page

Shallow Learning Vs Deep Learning

DOWNLOAD
Author : Ömer Faruk Ertuğrul
language : en
Publisher: Springer Nature
Release Date : 2024-10-12

Shallow Learning Vs Deep Learning written by Ömer Faruk Ertuğrul and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-12 with Mathematics categories.

This book explores the ongoing debate between shallow and deep learning in the field of machine learning. It provides a comprehensive survey of machine learning methods, from shallow learning to deep learning, and examines their applications across various domains. Shallow Learning vs Deep Learning: A Practical Guide for Machine Learning Solutions emphasizes that the choice of a machine learning approach should be informed by the specific characteristics of the dataset, the operational environment, and the unique requirements of each application, rather than being influenced by prevailing trends. In each chapter, the book delves into different application areas, such as engineering, real-world scenarios, social applications, image processing, biomedical applications, anomaly detection, natural language processing, speech recognition, recommendation systems, autonomous systems, and smart grid applications. By comparing and contrasting the effectiveness of shallow and deep learning in these areas, the book provides a framework for thoughtful selection and application of machine learning strategies. This guide is designed for researchers, practitioners, and students who seek to deepen their understanding of when and how to apply different machine learning techniques effectively. Through comparative studies and detailed analyses, readers will gain valuable insights to make informed decisions in their respective fields.

Strengthening Deep Neural Networks

DOWNLOAD
Author : Katy Warr
language : en
Publisher: O'Reilly Media
Release Date : 2019-07-03

Strengthening Deep Neural Networks written by Katy Warr and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-03 with Computers categories.

As deep neural networks (DNNs) become increasingly common in real-world applications, the potential to deliberately "fool" them with data that wouldn’t trick a human presents a new attack vector. This practical book examines real-world scenarios where DNNs—the algorithms intrinsic to much of AI—are used daily to process image, audio, and video data. Author Katy Warr considers attack motivations, the risks posed by this adversarial input, and methods for increasing AI robustness to these attacks. If you’re a data scientist developing DNN algorithms, a security architect interested in how to make AI systems more resilient to attack, or someone fascinated by the differences between artificial and biological perception, this book is for you. Delve into DNNs and discover how they could be tricked by adversarial input Investigate methods used to generate adversarial input capable of fooling DNNs Explore real-world scenarios and model the adversarial threat Evaluate neural network robustness; learn methods to increase resilience of AI systems to adversarial data Examine some ways in which AI might become better at mimicking human perception in years to come

Deep Learning

DOWNLOAD
Author : Li Deng
language : en
Publisher:
Release Date : 2014

Deep Learning written by Li Deng and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Machine learning categories.

Provides an overview of general deep learning methodology and its applications to a variety of signal and information processing tasks

Applications Of Machine Learning

DOWNLOAD
Author : Prashant Johri
language : en
Publisher: Springer Nature
Release Date : 2020-05-04

Applications Of Machine Learning written by Prashant Johri and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-04 with Technology & Engineering categories.

This book covers applications of machine learning in artificial intelligence. The specific topics covered include human language, heterogeneous and streaming data, unmanned systems, neural information processing, marketing and the social sciences, bioinformatics and robotics, etc. It also provides a broad range of techniques that can be successfully applied and adopted in different areas. Accordingly, the book offers an interesting and insightful read for scholars in the areas of computer vision, speech recognition, healthcare, business, marketing, and bioinformatics.

Proceedings Of The 2022 International Conference On Educational Innovation And Multimedia Technology Eimt 2022

DOWNLOAD
Author : Chew Fong Peng
language : en
Publisher: Springer Nature
Release Date : 2023-02-10

Proceedings Of The 2022 International Conference On Educational Innovation And Multimedia Technology Eimt 2022 written by Chew Fong Peng and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-10 with Education categories.

This is an open access book. As a leading role in the global megatrend of scientific innovation, China has been creating a more and more open environment for scientific innovation, increasing the depth and breadth of academic cooperation, and building a community of innovation that benefits all. These endeavors have made new contribution to globalization and creating a community of shared future. 2022 International Conference on Educational Innovation and Multimedia Technology (EIMT 2022) was held on March 25-27, 2022 in Hangzhou, China (Due to the epidemic, the meeting was moved to online). The aim of the conference is to bring together innovative academics and industrial experts in the field of Educational Innovation and Multimedia Technology to a common forum. The primary goal of the conference is to promote research and developmental activities in the related field.

The Psychology Of Effective Learning And Teaching

DOWNLOAD
Author : Matt Jarvis
language : en
Publisher: Nelson Thornes
Release Date : 2005

The Psychology Of Effective Learning And Teaching written by Matt Jarvis and has been published by Nelson Thornes this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Education categories.

This book covers the psychology of teaching and learning and focuses on applying up-to-date as well as traditional theory in the classroom. It covers a range of issues that most concern the new teacher, written clearly and at an appropriate level.

Deep Learning For Robot Perception And Cognition

DOWNLOAD
Author : Alexandros Iosifidis
language : en
Publisher: Academic Press
Release Date : 2022-02-04

Deep Learning For Robot Perception And Cognition written by Alexandros Iosifidis and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-04 with Technology & Engineering categories.

Deep Learning for Robot Perception and Cognition introduces a broad range of topics and methods in deep learning for robot perception and cognition together with end-to-end methodologies. The book provides the conceptual and mathematical background needed for approaching a large number of robot perception and cognition tasks from an end-to-end learning point-of-view. The book is suitable for students, university and industry researchers and practitioners in Robotic Vision, Intelligent Control, Mechatronics, Deep Learning, Robotic Perception and Cognition tasks. - Presents deep learning principles and methodologies - Explains the principles of applying end-to-end learning in robotics applications - Presents how to design and train deep learning models - Shows how to apply deep learning in robot vision tasks such as object recognition, image classification, video analysis, and more - Uses robotic simulation environments for training deep learning models - Applies deep learning methods for different tasks ranging from planning and navigation to biosignal analysis

Handbook Of Research On Machine And Deep Learning Applications For Cyber Security

DOWNLOAD
Author : Ganapathi, Padmavathi
language : en
Publisher: IGI Global
Release Date : 2019-07-26

Handbook Of Research On Machine And Deep Learning Applications For Cyber Security written by Ganapathi, Padmavathi and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-26 with Computers categories.

As the advancement of technology continues, cyber security continues to play a significant role in today’s world. With society becoming more dependent on the internet, new opportunities for virtual attacks can lead to the exposure of critical information. Machine and deep learning techniques to prevent this exposure of information are being applied to address mounting concerns in computer security. The Handbook of Research on Machine and Deep Learning Applications for Cyber Security is a pivotal reference source that provides vital research on the application of machine learning techniques for network security research. While highlighting topics such as web security, malware detection, and secure information sharing, this publication explores recent research findings in the area of electronic security as well as challenges and countermeasures in cyber security research. It is ideally designed for software engineers, IT specialists, cybersecurity analysts, industrial experts, academicians, researchers, and post-graduate students.

Deep Learning In Adaptive Learning Educational Behavior And Strategy

DOWNLOAD
Author : Chia-Chen Chen
language : en
Publisher: Frontiers Media SA
Release Date : 2022-09-14

Deep Learning In Adaptive Learning Educational Behavior And Strategy written by Chia-Chen Chen and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-14 with Science categories.

Handbook Of Research On Using Disruptive Methodologies And Game Based Learning To Foster Transversal Skills

DOWNLOAD
Author : Rivera-Trigueros, Irene
language : en
Publisher: IGI Global
Release Date : 2022-02-11

Handbook Of Research On Using Disruptive Methodologies And Game Based Learning To Foster Transversal Skills written by Rivera-Trigueros, Irene and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-11 with Education categories.

As new technologies and professional profiles emerge, traditional education paradigms have to be adapted to new scenarios, creating favorable conditions for promoting transversal skills among students. Consequently, there is a growing demand for training in emergent skills to solve problems of different natures, distributive leadership competencies, empathy, ability to control emotions, etc. In this sense, one of the challenges that educators of all different educational levels and training contexts have to face is to foster these skills in their courses. To overcome these obstacles, innovative and disruptive methodologies, such as game-based learning activities like escape rooms, can be a great ally for teachers to work on transversal skills and specific knowledge at the same time. The Handbook of Research on Using Disruptive Methodologies and Game-Based Learning to Foster Transversal Skills gathers knowledge, skills, abilities, and capabilities on innovative and disruptive methodologies that can be applied in all educational levels to foster transversal skills. This publication contains different contributions focused on the description of innovative educational methods, processes, and tools that can be adopted by teachers to promote transversal skills such as creativity, critical thinking, decision-making, and entrepreneurial skills. This book is ideal for teachers, instructional designers, educational software developers, academics, professionals, students, and researchers working at all levels in the educational field and provides valuable background information to professionals who aim to overcome traditional paradigm obstacles and meet student needs by means of innovative and disruptive methodologies.