Shallow And Deep Learning Principles
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Shallow And Deep Learning Principles
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Author : Zekâi Şen
language : en
Publisher:
Release Date : 2023
Shallow And Deep Learning Principles written by Zekâi Şen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with categories.
This book discusses Artificial Neural Networks (ANN) and their ability to predict outcomes using deep and shallow learning principles. The author first describes ANN implementation, consisting of at least three layers that must be established together with cells, one of which is input, the other is output, and the third is a hidden (intermediate) layer. For this, the author states, it is necessary to develop an architecture that will not model mathematical rules but only the action and response variables that control the event and the reactions that may occur within it. The book explains the reasons and necessity of each ANN model, considering the similarity to the previous methods and the philosophical - logical rules.
Shallow And Deep Learning Principles
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Author : Zekâi Şen
language : en
Publisher: Springer Nature
Release Date : 2023-06-01
Shallow And Deep Learning Principles written by Zekâi Şen and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-01 with Technology & Engineering categories.
This book discusses Artificial Neural Networks (ANN) and their ability to predict outcomes using deep and shallow learning principles. The author first describes ANN implementation, consisting of at least three layers that must be established together with cells, one of which is input, the other is output, and the third is a hidden (intermediate) layer. For this, the author states, it is necessary to develop an architecture that will not model mathematical rules but only the action and response variables that control the event and the reactions that may occur within it. The book explains the reasons and necessity of each ANN model, considering the similarity to the previous methods and the philosophical - logical rules.
Anatomy Of Deep Learning Principles Writing A Deep Learning Library From Scratch
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Author : Hongwei Dong
language : en
Publisher: hwdong
Release Date : 2023-05-08
Anatomy Of Deep Learning Principles Writing A Deep Learning Library From Scratch written by Hongwei Dong and has been published by hwdong this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-08 with Computers categories.
This book introduces the basic principles and implementation process of deep learning in a simple way, and uses python's numpy library to build its own deep learning library from scratch instead of using existing deep learning libraries. On the basis of introducing basic knowledge of Python programming, calculus, and probability statistics, the core basic knowledge of deep learning such as regression model, neural network, convolutional neural network, recurrent neural network, and generative network is introduced in sequence according to the development of deep learning. While analyzing the principle in a simple way, it provides a detailed code implementation process. It is like not teaching you how to use weapons and mobile phones, but teaching you how to make weapons and mobile phones by yourself. This book is not a tutorial on the use of existing deep learning libraries, but an analysis of how to develop deep learning libraries from 0. This method of combining the principle from 0 with code implementation can enable readers to better understand the basic principles of deep learning and the design ideas of popular deep learning libraries.
Principles Of Artificial Neural Networks Basic Designs To Deep Learning 4th Edition
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Author : Graupe Daniel
language : en
Publisher: World Scientific
Release Date : 2019-03-15
Principles Of Artificial Neural Networks Basic Designs To Deep Learning 4th Edition written by Graupe Daniel and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-15 with Computers categories.
The field of Artificial Neural Networks is the fastest growing field in Information Technology and specifically, in Artificial Intelligence and Machine Learning.This must-have compendium presents the theory and case studies of artificial neural networks. The volume, with 4 new chapters, updates the earlier edition by highlighting recent developments in Deep-Learning Neural Networks, which are the recent leading approaches to neural networks. Uniquely, the book also includes case studies of applications of neural networks — demonstrating how such case studies are designed, executed and how their results are obtained.The title is written for a one-semester graduate or senior-level undergraduate course on artificial neural networks. It is also intended to be a self-study and a reference text for scientists, engineers and for researchers in medicine, finance and data mining.
The Principles Of Deep Learning Theory
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Author : Daniel A. Roberts
language : en
Publisher: Cambridge University Press
Release Date : 2022-05-26
The Principles Of Deep Learning Theory written by Daniel A. Roberts and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-26 with Computers categories.
This volume develops an effective theory approach to understanding deep neural networks of practical relevance.
Machine Learning Techniques And Principles
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Author : Dr. Harshalata J. Petkar
language : en
Publisher: Academic Guru Publishing House
Release Date : 2023-09-04
Machine Learning Techniques And Principles written by Dr. Harshalata J. Petkar 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.
Machine learning is a branch of AI that seeks to automate repetitive, rule-based tasks by training computers to learn from data sets with little human input. It is a technique for analyzing data that allows for the automated construction of analytical models by drawing on information in numbers, words, hyperlinks, and pictures. Applications that use machine learning take in data, analyze it, and then use automated optimization techniques to increase the precision of their results. In addition to aiding in product creation, machine learning helps businesses keep tabs on shifting client preferences and organizational tendencies. Facebook, Google, and Uber are just a few industry leaders who use machine learning extensively. Machine learning has emerged as a key differentiator for many businesses. When it comes to gathering, analyzing, and reacting to massive volumes of data, Machine Learning is employed extensively across all sectors. In one way or another, Machine Learning affects our everyday lives. The most valuable aspect of machine learning is its ability to make high-quality predictions that may direct wiser choices and prompt more effective actions in real-time with no human involvement.
Deep Learning In Science
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Author : Pierre Baldi
language : en
Publisher: Cambridge University Press
Release Date : 2021-07
Deep Learning In Science written by Pierre Baldi and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07 with Computers categories.
Rigorous treatment of the theory of deep learning from first principles, with applications to beautiful problems in the natural sciences.
Deep Learning For Robot Perception And Cognition
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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 Computers 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
Machine Learning And Python For Human Behavior Emotion And Health Status Analysis
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Author : Md Zia Uddin
language : en
Publisher: CRC Press
Release Date : 2024-08-30
Machine Learning And Python For Human Behavior Emotion And Health Status Analysis written by Md Zia Uddin and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-30 with Computers categories.
This book is a practical guide for individuals interested in exploring and implementing smart home applications using Python. Comprising six chapters enriched with hands-on codes, it seamlessly navigates from foundational concepts to cutting-edge technologies, balancing theoretical insights and practical coding experiences. In short, it is a gateway to the dynamic intersection of Python programming, smart home technology, and advanced machine learning applications, making it an invaluable resource for those eager to explore this rapidly growing field. Key Features: Throughout the book, practicality takes precedence, with hands-on coding examples accompanying each concept to facilitate an interactive learning journey Striking a harmonious balance between theoretical foundations and practical coding, the book caters to a diverse audience, including smart home enthusiasts and researchers The content prioritizes real-world applications, ensuring readers can immediately apply the knowledge gained to enhance smart home functionalities Covering Python basics, feature extraction, deep learning, and XAI, the book provides a comprehensive guide, offering an overall understanding of smart home applications
Learning To Teach In The Secondary School
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Author : Susan Capel
language : en
Publisher: Routledge
Release Date : 2007-04-11
Learning To Teach In The Secondary School written by Susan Capel and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-04-11 with Education categories.
This best-selling textbook offers a sound and practical introduction to the skills needed to gain Qualified Teacher Status, and will help student-teachers to develop the qualities that lead to good practice and a successful future in education