Interpretability in deep learning

Interpretability in Deep Learning

This book is a comprehensive curation, exposition and illustrative discussion of recent research tools for interpretability of deep learning models, w

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Deep Learning in Science

This is the first rigorous, self-contained treatment of the theory of deep learning. Aimed at scientists, instructors, and students interested in arti

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Deep Learning

How can machine learning—especially deep neural networks—make a real difference in your organization? This hands-on guide not only provides the most

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Deep Learning in Visual Computing

This book provides an insight into deep machine learning and the challenges in visual computing to tackle the novel method of machine learning.

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Deep Reinforcement Learning in Action

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Deep Learning from Scratch

With the resurgence of neural networks in the 2010s, deep learning has become essential for machine learning practitioners and even many software engi

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Science of Deep Learning

This up-to-date guide to deep learning is intended for students in computer science, electrical engineering, data science, statistics, and OR as well

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Generative Deep Learning

Generative AI is the hottest topic in tech. This practical book teaches machine learning engineers and data scientists how to use TensorFlow and Keras

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Deep Learning in Time Series Analysis

The concept of deep machine learning is easier to understand by paying attention to the cyclic stochastic time series and a time series whose content

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AI, Machine Learning and Deep Learning

Today AI and Machine/Deep Learning have become the hottest areas in the information technology. This book aims to provide a complete picture on the ch

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Machine Learning and Deep Learning in Natural Language Processing

This book aims at providing a review of current Neural Network techniques in the NLP. The book is intended for a wide audience: beginners will find ch

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Deep

Big Cat Phonics for Little Wandle Letters and Sounds Revised has been developed in collaboration with Wandle Learning Trust and Little Sutton Primary

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Programming PyTorch for Deep Learning

Take the next steps toward mastering deep learning, the machine learning method thatÂ’s transforming the world around us by the second. In this practi

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Mathematical Aspects of Deep Learning

The development of a theoretical foundation for deep learning methods constitutes one of the most active and exciting research topics in applied mathe

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Inspiring Deep Learning with Metacognition

Understand what metacognition is and how you can apply it to your secondary school teaching to support deep and effective learning in your classroom.

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Neural Networks and Deep Learning

Chapters 6 and 7 present radial-basis function (RBF) networks and restricted Boltzmann machines. Advanced topics in neural networks: Chapters 8, 9, a

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Artificial Intelligence, Machine Learning, and Deep Learning in Precision Medicine in Liver Diseases

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Current Applications of Deep Learning in Cancer Diagnostics

This book demonstrates the core concepts of deep learning algorithms that, using diagrams, data tables, and examples, are especially useful for deep l

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Advances in Deep Learning for Medical Image Analysis

This reference text covers deep learning methods for detection of various diseases and analysis of medical images for better understanding. It will se

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Deep Learning in Personalized Healthcare and Decision Support

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AI, Machine Learning and Deep Learning Taylor & Francis Ltd

In our society, there are so many intelligent devices that rely on AI/ML/DL algorithms/tools for smart operations. Since the AI/ML/DL security is a new emergent field, many researchers and industry people cannot obtain detailed, comprehensive understanding of this area. This book aims to provide a complete picture on the challenges and solutions to the security issues in ...

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Deep Learning for the Life Sciences

Deep learning has already achieved remarkable results in many fields. Now itÂ’s making waves throughout the sciences broadly and the life sciences in

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Deep Learning for Natural Language Processing

A clear, accessible introduction to deep learning for natural language processing (NLP), this book is ideal for readers without a background in machin

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Generative Adversarial Networks and Deep Learning

This book explores how to use generative adversarial networks in a variety of applications and emphasises their substantial advancements over traditio

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Machine Learning and Deep Learning in Medical Data Analytics and Healthcare Applications

The book incorporates the many facets of computational intelligence, such as machine learning and deep learning, to provide groundbreaking development

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Deep Learning, Machine Learning and IoT in Biomedical and Health Informatics

Biomedical and Health Informatics is an important field that brings tremendous opportunities and helps address challenges due to an abundance of avail

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Deep Learning for Crack-Like Object Detection

Accurately detecting crack localization is not an easy task. This book addresses important issues in detecting crack-like objects and provides a pract

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Advancement of Deep Learning and its Applications in Object Detection and Recognition Taylor & Francis Ltd

In this book, we go through in detail detector architectures, feature learning, proposal generation, sampling strategies, and other issues that affect detection performance. The book describes every newly proposed novel solution but skips through the fundamentals so that readers can see the field´s cutting edge more rapidly. The book focuses primarily on step-by-step disc...

Dostupnost: do 90 dnů

Applications of Machine Learning and Deep Learning on Biological Data Taylor & Francis Ltd

Machine Learning and Deep Learning applied to biological and neuroimaging data opens up new frontiers for biomedical engineering, such as refining our understanding of complex diseases such as neurodegenerative and psychiatric disorders or cancer. This book strives to provide readers a comprehensive understanding of the application of Machine Learning and Deep Learning in...

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Applications of Machine Learning and Artificial Intelligence in Education

Focuses on the parameters of remote learning, machine learning, deep learning, and artificial intelligence under 21st-century learning and instruction

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Teaching Mathematics in the Visible Learning Classroom, Grades 6-8

This book helps teachers leverage the most effective teaching practices at the most effective time to meet the surface, deep, and transfer learning ne

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Deep Learning-Based Forward Modeling and Inversion Techniques for Computational Physics Problems

This book investigates in detail the emerging deep learning (DL) technique in computational physics, assessing its promising potential to substitute c

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Deep Learning for Crack-Like Object Detection Taylor & Francis Ltd

Accurately detecting crack localization is not an easy task. This book addresses important issues in detecting crack-like objects and provides a practical smart pavement surface inspection system using deep learning. By introducing these methods and systems, it provides readers an opportunity to get into the computer vision and deep learning. In addition, it does a prelim...

Dostupnost: do 90 dnů

Deep Learning Approach for Natural Language Processing, Speech, and Computer Vision Taylor & Francis Ltd

Deep Learning Approach for Natural Language Processing, Speech, and Computer Vision provides an overview of general deep learning methodology and its applications of natural language processing (NLP), speech and computer vision tasks. It simplifies and presents the concepts of deep learning in a comprehensive manner, with suitable, full-fledged examples of deep learning m...

Dostupnost: do 90 dnů

Deep Learning and Scientific Computing with R torch Taylor & Francis Ltd

This book aims to be useful to (almost) everyone. Its purposes are threefold. To provide a thorough introduction to torch basics – by explaining underlying concepts and ideas, and showing enough examples for the reader to become fluent in torch. By focusing on conceptual explanation, show how to use torch in deep-learning applications, ranging from image recognition over ...

Dostupnost: do 90 dnů

Deep Learning and Scientific Computing with R torch Taylor & Francis Ltd

This book aims to be useful to (almost) everyone. Its purposes are threefold. To provide a thorough introduction to torch basics – by explaining underlying concepts and ideas, and showing enough examples for the reader to become fluent in torch. By focusing on conceptual explanation, show how to use torch in deep-learning applications, ranging from image recognition over ...

Dostupnost: do 90 dnů

Diagnosis of Neurological Disorders Based on Deep Learning Techniques Taylor & Francis Ltd

This book is based on deep learning approaches used for the diagnosis of neurological disorders, including basics of deep learning algorithms using diagrams, data tables, and practical examples, for diagnosis of neurodegenerative and neurodevelopmental disorders. It includes application of feed-forward neural networks, deep generative models, convolutional neural networks...

Dostupnost: do 90 dnů

Deep Learning and Its Applications for Vehicle Networks Taylor & Francis Ltd

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: 1. DL for vehicle safety and security, 2. DL for effective vehicle communications, 3. DL for vehicle control, 4. DL for information management, 5. Other applications. The DL and its variants will play more important roles in cogn...

Dostupnost: do 90 dnů

Artificial Intelligence and Deep Learning for Computer Network Taylor & Francis Ltd

This book aims to systematically collect quality research spanning AI, ML and DL applications to diverse sub-topics of computer networks, communications, and security, under a single cover. It also aspires to provide more insights on the applicability of the theoretical similitudes. It presents adiverse collection of important and cutting-edge topics covered in a single v...

Dostupnost: do 90 dnů

Machine Learning and the Internet of Things in Solar Power Generation

The text investigation various MPPT algorithms, and the optimization of solar energy using machine learning and deep learning. It will serve as an ide

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Measuring and Visualizing Space in Elementary Mathematics Learning Taylor & Francis Ltd

This bookexplores the development of elementary students’ understanding of the mathematics of measure, a frequently overlooked topic in elementary mathematics education, and demonstrates how measurement can serve as an anchor for supporting a deeper understanding of number operations and rational numbers. Authors Lehrer and Schauble offera unique, research driven resource...

Dostupnost: do 90 dnů

Measuring and Visualizing Space in Elementary Mathematics Learning Taylor & Francis Ltd

This bookexplores the development of elementary students’ understanding of the mathematics of measure, a frequently overlooked topic in elementary mathematics education, and demonstrates how measurement can serve as an anchor for supporting a deeper understanding of number operations and rational numbers. Authors Lehrer and Schauble offera unique, research driven resource...

Dostupnost: do 90 dnů

Linear Algebra With Machine Learning and Data Taylor & Francis Ltd

This book takes a deep dive into several key linear algebra subjects as they apply to data analytics and data mining. The book offers a case study approach where each case will be grounded in a real-world application. This text is meant to be used for a second course in applications of Linear Algebra to Data Analytics, with a supplemental chapter on Decision Trees and t...

Dostupnost: do 90 dnů

Macmillan Children's Reader The Deep Level 6

The Macmillan Children's Readers bring together a variety of enjoyable fiction and non-fiction titles. Six colour coded levels, designed for children aged 6-12, stimulate the pupils' interest in reading and learning English. The Readers include activity pages and a picture dictionary or wordlist. The upper levels also have fact-files and non-fiction tales to grab the int...

Dostupnost: neudáno

Introduction to IoT with Machine Learning and Image Processing using Raspberry Pi

This book introduces Raspberry Pi, using real world applications in computer vision, machine learning, and deep learning. It provides a detailed, step

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Introduction to IoT with Machine Learning and Image Processing using Raspberry Pi

This book introduces Raspberry Pi, using real world applications in computer vision, machine learning, and deep learning. It provides a detailed, step

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C++ Template Metaprogramming in Practice

Using the implementation of a deep learning framework as an example, C++ Template Metaprogramming in Practice: A Deep Learning Framework explains the

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Theoretical and Historical Evolutions of Self-Directed Learning Taylor & Francis Ltd

This book analyses the deep historical and theoretical roots of self-directed learning models in order to put forward a new conceptual understanding of Self-Directed Learning. Exploring exemplars from different cultural and historical settings to inform post-pandemic pedagogies and policies, this book will appeal to scholars and researchers of the history and philosophy o...

Dostupnost: do 90 dnů

Data-Driven Intelligence in Wireless Networks Taylor & Francis Ltd

This book highlights the importance of data-driven techniques to solve wireless communication problems. It presents a number of problems (e.g., related to performance, security, and social networking), and provides solutions using various data-driven techniques, including machine learning, deep learning, federated learning, and AI. The target audience of this book include...

Dostupnost: do 90 dnů

Computational and Analytic Methods in Biological Sciences Taylor & Francis Ltd

In spite of advancements in instrumentations technology and biomedical equipment, it is not always possible to perform experiments in medicine and biology for various reasons. Thus, mathematical modelling and simulation are viewed as viable alternatives in such situations, and are discussed in this book. This book explores the probabilistic computational deep learning mod...

Dostupnost: do 90 dnů

The Paris Trilogy: A Life in Three Stories - Colombe Schneck

<p>The Paris Trilogy is celebrated French author Colombe Schneck's first English language publication, translated by Lauren Elkin and Natasha Lehrer. Writing in response to Annie Ernaux and in conversation with Elena Ferrante, Colombe Schneck's three semi-autobiographical takes on a woman's life form an elegant, powerful exploration of sexuality, bodily autonomy, fr...

Dostupnost: do 30 dnů

Big Data Analytics in Fog-Enabled IoT Networks Taylor & Francis Ltd

This book focus on Big data Analytics in Fog-enabled-IoT system and provides a comprehensive collection of chapters that touches different issues related to Healthcare system, Cyber threat detection, Malware detection, security and privacy of big IoT data and IoT network. This book emphasizes and facilitate a greater understanding of various security and privacy approache...

Dostupnost: do 90 dnů

Empowering Young Children

This essential guidebook offers creative, exciting ways for teachers to implement and support deep, authentic, and transformative learning in early ch

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Responsible Graph Neural Networks Taylor & Francis Ltd

This book offers a complete study in the area of graph learning in cyber, emphasising graph neural networks (GNNs) and their cyber security applications. Three parts examine the basics, methods and practices, and advanced topics. Undergraduate students, graduate students, researchers, cyber analysts, and AI engineers looking to understand practical deep learning methods ...

Dostupnost: do 90 dnů

Responsible Graph Neural Networks Taylor & Francis Ltd

This book offers a complete study in the area of graph learning in cyber, emphasising graph neural networks (GNNs) and their cyber security applications. Three parts examine the basics, methods and practices, and advanced topics. Undergraduate students, graduate students, researchers, cyber analysts, and AI engineers looking to understand practical deep learning methods ...

Dostupnost: do 90 dnů

Swarm Intelligence and Evolutionary Computation Taylor & Francis Ltd

The book deals with several swarm and evolutionary optimization algorithms such as genetic algorithm, particle swarm optimization, ant colony optimization, artificial bee colony, variations of PSO algorithm such as geometric-PSO, quantum – PSO and some recent meta-heuristic algorithms such as Grasshopper Optimization Algorithm and Whale Optimization Algorithm. Several app...

Dostupnost: do 90 dnů

Multi-Sensor and Multi-Temporal Remote Sensing Taylor & Francis Ltd

This book brings consolidated information in the form of fuzzy machine and deep learning models for single class mapping from multi-sensor multi-temporal remote sensing images at one place. It provides information about capabilities of multi-spectral and hyperspectral images, importance of dimensionality reduction, various spectral and texture-based indices, single, dual,...

Dostupnost: do 90 dnů

Tiny ML

Deep learning networks are getting smaller. Much smaller. The Google Assistant team can detect words with a model just 14 kilobytes in size--small enough to run on a microcontroller. With this practical book you'll enter the field of TinyML, where deep

Dostupnost: skladem

Computational Intelligence for Cybersecurity Management and Applications Taylor & Francis Ltd

As cyberattacks continue to grow in complexity and number, computational intelligence is helping under-resourced security analysts stay one step ahead of threats. The book offers comprehensive coverage of the essential topics, including machine Learning and Deep Learning for cybersecurity, blockchain for cybersecurity and privacy, security engineering for Cyber-physical s...

Dostupnost: do 90 dnů

6G-Enabled IoT and AI for Smart Healthcare Taylor & Francis Ltd

6G-enabled IoT and AI for Smart Healthcare: Challenges, Impact, and Analysis offers the fundamentals, history, reality, and challenges faced in the smart healthcare industry today. It discusses the concepts, tools, and techniques of smart healthcare as well as the analysis used. It details the role that Machine Learning-based Deep Learning and 6G-enabled IoT concepts play...

Dostupnost: do 90 dnů