‘I was gripped immediately’ KATERINA DIAMOND, author of THE TEACHER ‘Terrific characterisation, great writing and twists to leave you dizzy.’ TERESA DRISCOLL, author of I AM WATCHING YOU Do you really know your friends? ** THE TOP 10 KINDLE BESTSELLER** On the afternoon of Nick and Lisa’s wedding, their close friend is found poised on a hotel window ledge, ready to jump. As the shock hits their friendship group, they soon realise that none of them are being as honest with themselves – or with each other – as they think. And there are secrets lurking that could destroy everything. Tense, disturbing and clever, My Husband’s Lies is a breath-taking read, perfect for fans of Lucy Clarke and Erin Kelly.

From the author of Neverness comes a powerful new epic fantasy series. The Ea Cycle is as rich as Tolkien and as magical as the Arthurian myths. The world of Ea is an ancient world settled in eons past by the Star People. However, their ancestors floundered, in their purpose to create a great stellar civilisation on the new planet: they fell into moral decay. Now a champion has been born who will lead them back to greatness, by means of a spiritual – and adventurous – quest for Ea’s Grail: the Lightstone. His name is Valashu Elahad, and he is destined to become King. Blessed (or cursed?) with an empathy for all living things, he will lead his people into the lands of Morjin, into the heart of darkness, wielding a magical sword called Alkadadur, there to recover the mythical Lightstone and return in triumph with his prize. But Morjin is not to be vanquished so easily…

Spirited, elegant, fun, with an enchanting authorial voice, For Matrimonial Purposes is a remarkable achievement, an original in the contemporary women’s market. The main character, Anju, born and raised in Bombay, is now a fashion journalist in New York. But twinned with her enjoyment of the American scene, her single, glamorous life and the fashion perks it brings, is her determination to remain true to her Indian roots and her love of her extensive family. Marriage is the most important role for an Indian woman, and arranged marriages are still the custom: ‘I am not working for your happiness, but for you to be married,’ says Anju’s mother. Anju is 30, old in Indian terms, and her mother and aunt fear that her independent ways might make her less acceptable to other family’s eyes. They set about organising possible contacts in their home town, Bombay. But now a prospective bride or groom, or their families, can decline the suggested marriage after a meeting. For Matrimonial Purposes is the hilarious, poignant, loving story of Anju’s journey, the rare selection of men and their families that she meets, and the choices that she must make while trying to remain true to herself and satisfy her family and tradition.

First published in 1983, Heroes and Contemporaries reveals a new aspect of David Gower’s personality – that of an astute and intelligent observer of the game and of his fellow players. In this book he has chosen a collection of the people in cricket he most admires and has written about them in conversational style, with immediacy and critical appreciation. Gower’s encounters with these people behind the scenes – some of the most important players of our time – give us insight into their characters, their strengths and weaknesses, an insight which we would not normally have just by observing them on the field or by reading newspaper reports. His views on the captaincies of Bob Willis, Mike Brearley and Ian Botham are especially revealing. There is also displayed in this book considerable understanding of the psychology of such contemporaries as Ian Botham and Geoff Boycott, and an important chapter is included on Ray Illingworth, Gower’s staunchest champion and sternest critic. Although Heroes and Contemporaries is basically about other people, it also tells us a great deal about David Gower himself.

Lawyer Lennox Kemp’s newly-wed happiness is slowly being eroded by a series of anonymous threats. Is it an aggrieved past client? A criminal he has helped put away? His friend Detective Inspector John Upshire points out that there is a multiplicity of enemies from which to choose. But then a colleague of Kemp’s is murdered and Lennox is convinced that he was the intended victim. Weighed down by guilt, he feels disinclined to investigate the matter further, so it is left to his feisty wife Mary to follow the confusing clues. Is the murder connected to the anonymous threats and sabotage attempts against Kemp? or does it relate to the victim’s own affairs? A mysterious commission in London, an arrogant property dealer, an unbalanced young woman, are only some of the elements of the mystery which Mary must disentangle. But is she on the right path? And will Lennox regain his interest in the affair before another murder is committed? The return of Lennox Kemp, M. R. D. Meek’s popular lawyer sleuth, is an intricate and suspenseful puzzler that will delight his many fans.

Betty Shine was known worldwide for her powers as a medium and healer. She was the author of 11 bestselling books, including Mind Magic which was a Sunday Times No.1 bestseller. A former opera singer, she was a therapist for over 40 years and a healer and medium for 25 years. Her untimely death has left many fans bereft, and this book is a fitting tribute.

Witty and irreverent, this is the first in an irresistible crime series set in Tsarist Russia in the 1890s from the award-winning Michael Pearce. Tsarist Russia in the 1890s. Dmitri Kameron, a young lawyer, must deal with the disappearance of a well-connected young woman. She has been shipped off to Siberia, in one of the prison wagons outside the Court House. But is this a bureaucratic bungle or something more calculated? On a journey to the furthest outposts of Russia, Dimitri’s search becomes horribly complicated. To unearth the truth in a treacherous world of Russian officialdom he is forced to make some strange allies, not least among them the redoubtable Milk-Drinkers…

Owning a dog is a huge responsibility but extremely rewarding. When you decide to welcome a Cavalier King Charles Spaniel into your home, you have to consider not only how he will fit into your lifestyle but also what you can offer him in return. He will need regular exercise, feeding, games and companionship as well as daily care.As a good owner, it is your responsibility to keep your Cavalier King Charles Spaniel fit and healthy. If you follow the basic guidelines in this book and socialize him, feed a nutritious diet, exercise him adequately, groom and play with him, you can prevent many common health problems. However, it is important that you learn to recognize the warning signs of problems and diseases so that you can treat them yourself or seek professional help from your vet before they get worse. Prevention is always preferable to cure, and a healthy, contented dog will become your trusted companion for many years.

In a single moment everything can change. Meg Pepper has a fulfilling career and a happy family. Most days she’s able to keep it all together and glide through life. But then, in one unalterable moment, everything changes. After school pickup one day, she stops her car to wave a teenage boy across the street…just as another car comes hurtling down the road and slams into him. Meg can’t help but blame herself for her role in this horrific disaster. Full of remorse, she throws herself into helping the boy’s family as he rehabs from his injuries. But the more Meg tries to absolve herself, the more she alienates her own family – and the more she finds herself being drawn to the boy’s father. Soon Meg’s picture-perfect life is unravelling before her eyes. As the painful secrets she’s been burying bubble dangerously close to the surface, she will have to decide: Can she forgive herself, or will she risk losing everything she holds dear to her heart?

Sometimes you have to lose your way to find yourself Dr. Dylan Michels has worked hard for a perfect life, so when her longtime boyfriend, Cooper, gets down on one knee, it should be the most perfect moment of all. Then why does she say no? For too many years, Dylan's been living for her sister, who never got the chance to grow up. But her attempt to be the perfect daughter, perfect partner and perfect doctor hasn't been enough to silence the haunting guilt Dylan feels over her sister's death—and the role no one knows she played in it. Now Dylan must face her past if she and Cooper stand a chance at a future together. But when Cooper makes a startling confession of his own, can Dylan find the courage to define her own happiness before her life becomes perfectly undone? Set among the breezy days of a sultry Portland summer, Perfectly Undone is a deeply moving novel of family secrets, forgiveness and finding yourself in the most surprising of places.

A witty, wry look at contemporary marriage and relationships, from the author of For Matrimonial Purposes. Priya, growing up in a comfortable home in Delhi, is the youngest of four sisters, but the first for whom a marriage has been arranged – the other sisters all seem to have had a variety of reasons against husbands. Priya moves to Los Angeles where her new family have been established for some twenty years and while no woman in her family has ever had a job, she decides that in America, she should find one. And that's when the trouble begins… Her charm and dignity, as well as her discretion and sympathetic ways, raise her from receptionist to key interviewer on a glitzy media magazine in a short time. She knows that while a little job is OK with her in-laws, a career, western clothes and interviewing male stars in hotel rooms would be absolutely forbidden. So her double life – American career woman versus traditional Hindu wife – begins, and her longing for a different relationship with her husband grows. Funny and serious, full of rich comments on the pleasures and absurdities of life-styles in East and West, Everything Happens for a Reason is a charming contemporary novel, from a wonderful and unique author.

Discover Android programming and web development by understanding the concepts of Kotlin Programming About This Book ? Practical solutions to your common programming problems with Kotlin 1.1 ? Leverage the functional power of Kotlin to ease your Android application development ? Learn to use Java code in conjunction with Kotlin Who This Book Is For This book will appeal to Kotlin developers keen to find solutions for their common programming problems. Java programming knowledge would be an added advantage. What You Will Learn ? Understand the basics and object-oriented concepts of Kotlin Programming ? Explore the full potential of collection frameworks in Kotlin ? Work with SQLite databases in Android, make network calls, and fetch data over a network ? Use Kotlin's Anko library for efficient and quick Android development ? Uncover some of the best features of Kotlin: Lambdas and Delegates ? Set up web service development environments, write servlets, and build RESTful services with Kotlin ? Learn how to write unit tests, integration tests, and instrumentation/acceptance tests. In Detail The Android team has announced first-class support for Kotlin 1.1. This acts as an added boost to the language and more and more developers are now looking at Kotlin for their application development. This recipe-based book will be your guide to learning the Kotlin programming language. The recipes in this book build from simple language concepts to more complex applications of the language. After the fundamentals of the language, you will learn how to apply the object-oriented programming features of Kotlin 1.1. Programming with Lambdas will show you how to use the functional power of Kotlin. This book has recipes that will get you started with Android programming with Kotlin 1.1, providing quick solutions to common problems encountered during Android app development. You will also be taken through recipes that will teach you microservice and concurrent programming with Kotlin. Going forward, you will learn to test and secure your applications with Kotlin. Finally, this book supplies recipes that will help you migrate your Java code to Kotlin and will help ensure that it's interoperable with Java. Style and approach This book explains concepts related to Kotlin Programming using a practical approach and with the help of easy-to-follow recipes.

Learn how to write scalable and concurrent programs in Scala, a language that grows with you. About This Book ? Get a grip on the functional features of the Scala programming language ? Understand and develop optimal applications using object-oriented and functional Scala constructs ? Learn reactive principles with Scala and work with the Akka framework Who This Book Is For This book is for programmers who choose to get a grip over Scala to write concurrent, scalable, and reactive programs. No prior experience with any programming language is required to learn the concepts explained in this book. Knowledge of any programming language would help the reader understanding concepts faster though. What You Will Learn ? Get to know the reasons for choosing Scala: its use and the advantages it provides over other languages ? Bring together functional and object-oriented programming constructs to make a manageable application ? Master basic to advanced Scala constructs ? Test your applications using advanced testing methodologies such as TDD ? Select preferred language constructs from the wide variety of constructs provided by Scala ? Make the transition from the object-oriented paradigm to the functional programming paradigm ? Write clean, concise, and powerful code with a functional mindset ? Create concurrent, scalable, and reactive applications utilizing the advantages of Scala In Detail Scala is a general-purpose programming language that supports both functional and object-oriented programming paradigms. Due to its concise design and versatility, Scala's applications have been extended to a wide variety of fields such as data science and cluster computing. You will learn to write highly scalable, concurrent, and testable programs to meet everyday software requirements. We will begin by understanding the language basics, syntax, core data types, literals, variables, and more. From here you will be introduced to data structures with Scala and you will learn to work with higher-order functions. Scala's powerful collections framework will help you get the best out of immutable data structures and utilize them effectively. You will then be introduced to concepts such as pattern matching, case classes, and functional programming features. From here, you will learn to work with Scala's object-oriented features. Going forward, you will learn about asynchronous and reactive programming with Scala, where you will be introduced to the Akka framework. Finally, you will learn the interoperability of Scala and Java. After reading this book, you'll be well versed with this language and its features, and you will be able to write scalable, concurrent, and reactive programs in Scala. Style and approach This book is for programmers who want to master Scala to write concurrent, scalable, and reactive programs. Though no experience with any programming language is needed, some basic knowledge would help understand concepts faster.

Get to grips with the essentials of deep learning by leveraging the power of Python About This Book ? Your one-stop solution to get started with the essentials of deep learning and neural network modeling ? Train different kinds of neural networks to tackle various problems in Natural Language Processing, computer vision, speech recognition, and more ? Covers popular Python libraries such as Tensorflow, Keras, and more, along with tips on training, deploying and optimizing your deep learning models in the best possible manner Who This Book Is For Aspiring data scientists and machine learning experts who have limited or no exposure to deep learning will find this book to be very useful. If you are looking for a resource that gets you up and running with the fundamentals of deep learning and neural networks, this book is for you. As the models in the book are trained using the popular Python-based libraries such as Tensorflow and Keras, it would be useful to have sound programming knowledge of Python. What You Will Learn ? Get to grips with the core concepts of deep learning and neural networks ? Set up deep learning library such as TensorFlow ? Fine-tune your deep learning models for NLP and Computer Vision applications ? Unify different information sources, such as images, text, and speech through deep learning ? Optimize and fine-tune your deep learning models for better performance ? Train a deep reinforcement learning model that plays a game better than humans ? Learn how to make your models get the best out of your GPU or CPU In Detail Deep Learning a trending topic in the field of Artificial Intelligence today and can be considered to be an advanced form of machine learning, which is quite tricky to master. This book will help you take your first steps in training efficient deep learning models and applying them in various practical scenarios. You will model, train, and deploy different kinds of neural networks such as Convolutional Neural Network, Recurrent Neural Network, and will see some of their applications in real-world domains including computer vision, natural language processing, speech recognition, and so on. You will build practical projects such as chatbots, implement reinforcement learning to build smart games, and develop expert systems for image captioning and processing. Popular Python library such as TensorFlow is used in this book to build the models. This book also covers solutions for different problems you might come across while training models, such as noisy datasets, small datasets, and more. This book does not assume any prior knowledge of deep learning. By the end of this book, you will have a firm understanding of the basics of deep learning and neural network modeling, along with their practical applications. Style and approach This step-by-step guide is filled with real-world practical examples and use cases to solve various deep learning problems.

Learn, develop, and design applications using the new features in Microsoft Dynamics CRM About This Book ? Implement business logic using processes, plugins, and client-side *s with MS Dynamics 365 ? Develop custom CRM solutions to improve your business applications ? A comprehensive guide that covers the new features of Microsoft Dynamics 365 and increasingly advanced topics. Who This Book Is For This book targets skilled developers who are looking to build business-solution software and are new to application development in Microsoft Dynamics 365, especially for CRM. What You Will Learn ? Discover new designers tools included in Dynamics 365 CRM ? Develop apps using the platform-agnostic Web API ? Leverage Azure Extensions to design cloud-aware applications ? Learn how to implement CRUD operation ? Create integrated real-world apps using Microsoft PowerApps and Flow by combining services such as Twitter, Facebook, and SharePoint ? Configure and use Artificial Intelligence Azure Cognitive Services for Recommendation and Text Analytic services In Detail Microsoft Dynamics 365 CRM is the most trusted name in enterprise-level customer relationship management. Thelatest version of Dynamics CRM comes with the important addition of exciting features guaranteed to make your life easier. It comes straight off the shelf with a whole new frontier of updated business rules, process enhancements, SDK methods, and other enhancements. This book will introduce you to the components of the new designer tools, such as SiteMap, App Module, and Visual Designer for Business Processes. Going deeper, this book teaches you how to develop custom SaaS applications leveraging the features of PowerApps available in Dynamics 365.Further, you will learn how to automate business processes using Microsoft Flow, and then we explore Web API, the most important platform update in Dynamics 365 CRM. Here, you'll also learn how to implement Web API in custom applications. You will learn how to write an Azure-aware plugin to design and integrate cloud-aware solutions. The book concludes with configuring services using newly released features such as Editable grids, Data Export Service, LinkedIn Integration, Relationship Insights, and Live Assist. Style and approach The book takes a pragmatic approach, exploring Dynamics 365 and its CRM features with the help of real-world scenarios.

Enhance your organization’s secure posture by improving your attack and defense strategies About This Book ? Gain a clear understanding of the attack methods, and patterns to recognize abnormal behavior within your organization with Blue Team tactics. ? Learn to unique techniques to gather exploitation intelligence, identify risk and demonstrate impact with Red Team and Blue Team strategies. ? A practical guide that will give you hands-on experience to mitigate risks and prevent attackers from infiltrating your system. Who This Book Is For This book aims at IT professional who want to venture the IT security domain. IT pentester, Security consultants, and ethical hackers will also find this course useful. Prior knowledge of penetration testing would be beneficial. What You Will Learn ? Learn the importance of having a solid foundation for your security posture ? Understand the attack strategy using cyber security kill chain ? Learn how to enhance your defense strategy by improving your security policies, hardening your network, implementing active sensors, and leveraging threat intelligence ? Learn how to perform an incident investigation ? Get an in-depth understanding of the recovery process ? Understand continuous security monitoring and how to implement a vulnerability management strategy ? Learn how to perform log analysis to identify suspicious activities In Detail The book will start talking about the security posture before moving to Red Team tactics, where you will learn the basic syntax for the Windows and Linux tools that are commonly used to perform the necessary operations. You will also gain hands-on experience of using new Red Team techniques with powerful tools such as python and PowerShell, which will enable you to discover vulnerabilities in your system and how to exploit them. Moving on, you will learn how a system is usually compromised by adversaries, and how they hack user's identity, and the various tools used by the Red Team to find vulnerabilities in a system. In the next section, you will learn about the defense strategies followed by the Blue Team to enhance the overall security of a system. You will also learn about an in-depth strategy to ensure that there are security controls in each network layer, and how you can carry out the recovery process of a compromised system. Finally, you will learn how to create a vulnerability management strategy and the different techniques for manual log analysis. By the end of this book, you will be well-versed with Red Team and Blue Team techniques and will have learned the techniques used nowadays to attack and defend systems. Style and approach This book uses a practical approach of the cybersecurity kill chain to explain the different phases of the attack, which includes the rationale behind each phase, followed by scenarios and examples that brings the theory into practice.

Explore the concepts and tools you need to discover the world of microservices with various design patterns About This Book ? Get to grips with the microservice architecture and build enterprise-ready microservice applications ? Learn design patterns and the best practices while building a microservice application ? Obtain hands-on techniques and tools to create high-performing microservices resilient to possible fails Who This Book Is For This book is for architects and senior developers who would like implement microservice design patterns in their enterprise application development. The book assumes some prior programming knowledge. What You Will Learn ? How to break monolithic application into microservices ? Implement caching strategies, CQRS and event sourcing, and circuit breaker patterns ? Incorporate different microservice design patterns, such as shared data, aggregator, proxy, and chained ? Utilize consolidate testing patterns such as integration, signature, and monkey tests ? Secure microservices with JWT, API gateway, and single sign on ? Deploy microservices with continuous integration or delivery, Blue-Green deployment In Detail Microservices are a hot trend in the development world right now. Many enterprises have adopted this approach to achieve agility and the continuous delivery of applications to gain a competitive advantage. This book will take you through different design patterns at different stages of the microservice application development along with their best practices. Microservice Patterns and Best Practices starts with the learning of microservices key concepts and showing how to make the right choices while designing microservices. You will then move onto internal microservices application patterns, such as caching strategy, asynchronism, CQRS and event sourcing, circuit breaker, and bulkheads. As you progress, you'll learn the design patterns of microservices. The book will guide you on where to use the perfect design pattern at the application development stage and how to break monolithic application into microservices. You will also be taken through the best practices and patterns involved while testing, securing, and deploying your microservice application. At the end of the book, you will easily be able to create interoperable microservices, which are testable and prepared for optimum performance. Style and approach Comprehensive guide that uses architectural patterns with the best choices involved in application development

Build effective regression models in R to extract valuable insights from real data About This Book ? Implement different regression analysis techniques to solve common problems in data science - from data exploration to dealing with missing values ? From Simple Linear Regression to Logistic Regression - this book covers all regression techniques and their implementation in R ? A complete guide to building effective regression models in R and interpreting results from them to make valuable predictions Who This Book Is For This book is intended for budding data scientists and data analysts who want to implement regression analysis techniques using R. If you are interested in statistics, data science, machine learning and wants to get an easy introduction to the topic, then this book is what you need! Basic understanding of statistics and math will help you to get the most out of the book. Some programming experience with R will also be helpful What You Will Learn ? Get started with the journey of data science using Simple linear regression ? Deal with interaction, collinearity and other problems using multiple linear regression ? Understand diagnostics and what to do if the assumptions fail with proper analysis ? Load your dataset, treat missing values, and plot relationships with exploratory data analysis ? Develop a perfect model keeping overfitting, under-fitting, and cross-validation into consideration ? Deal with classification problems by applying Logistic regression ? Explore other regression techniques – Decision trees, Bagging, and Boosting techniques ? Learn by getting it all in action with the help of a real world case study. In Detail Regression analysis is a statistical process which enables prediction of relationships between variables. The predictions are based on the casual effect of one variable upon another. Regression techniques for modeling and analyzing are employed on large set of data in order to reveal hidden relationship among the variables. This book will give you a rundown explaining what regression analysis is, explaining you the process from scratch. The first few chapters give an understanding of what the different types of learning are – supervised and unsupervised, how these learnings differ from each other. We then move to covering the supervised learning in details covering the various aspects of regression analysis. The outline of chapters are arranged in a way that gives a feel of all the steps covered in a data science process – loading the training dataset, handling missing values, EDA on the dataset, transformations and feature engineering, model building, assessing the model fitting and performance, and finally making predictions on unseen datasets. Each chapter starts with explaining the theoretical concepts and once the reader gets comfortable with the theory, we move to the practical examples to support the understanding. The practical examples are illustrated using R code including the different packages in R such as R Stats, Caret and so on. Each chapter is a mix of theory and practical examples. By the end of this book you will know all the concepts and pain-points related to regression analysis, and you will be able to implement your learning in your projects. Style and approach An easy-to-follow step by step guide which will help you get to grips with real world application of Regression Analysis with R

Master the capabilities of PostgreSQL 10 to efficiently manage and maintain your database About This Book ? Your one-stop guide to mastering advanced concepts in PostgreSQL 10 with ease ? Master query optimization, replication, and high availability with PostgreSQL ? Extend the functionalities of your PostgreSQL instance to suit your organizational needs with minimal effort Who This Book Is For If you are a PostgreSQL data architect or an administrator and want to understand how to implement advanced functionalities and master complex administrative tasks with PostgreSQL 10, then this book is perfect for you. Prior experience of administrating a PostgreSQL database and a working knowledge of SQL are required to make the best use of this book. What You Will Learn ? Get to grips with the advanced features of PostgreSQL 10 and handle advanced SQL ? Make use of the indexing features in PostgreSQL and fine-tune the performance of your queries ? Work with stored procedures and manage backup and recovery ? Master replication and failover techniques ? Troubleshoot your PostgreSQL instance for solutions to common and not-so-common problems ? Learn how to migrate your database from MySQL and Oracle to PostgreSQL without any hassle In Detail PostgreSQL is an open source database used for handling large datasets (big data) and as a JSON document database. This book highlights the newly introduced features in PostgreSQL 10, and shows you how you can build better PostgreSQL applications, and administer your PostgreSQL database more efficiently. We begin by explaining advanced database design concepts in PostgreSQL 10, along with indexing and query optimization. You will also see how to work with event triggers and perform concurrent transactions and table partitioning, along with exploring SQL and server tuning. We will walk you through implementing advanced administrative tasks such as server maintenance and monitoring, replication, recovery, high availability, and much more. You will understand common and not-so-common troubleshooting problems and how you can overcome them. By the end of this book, you will have an expert-level command of advanced database functionalities and will be able to implement advanced administrative tasks with PostgreSQL 10. Style and approach This mastering-level guide delves into the advanced functionalities of PostgreSQL 10

A practical guide designed to get you from basics to current state of art in computer vision systems. About This Book ? Master the different tasks associated with Computer Vision and develop your own Computer Vision applications with ease ? Leverage the power of Python, Tensorflow, Keras, and OpenCV to perform image processing, object detection, feature detection and more ? With real-world datasets and fully functional code, this book is your one-stop guide to understanding Computer Vision Who This Book Is For This book is for machine learning practitioners and deep learning enthusiasts who want to understand and implement various tasks associated with Computer Vision and image processing in the most practical manner possible. Some programming experience would be beneficial while knowing Python would be an added bonus. What You Will Learn ? Learn the basics of image manipulation with OpenCV ? Implement and visualize image filters such as smoothing, dilation, histogram equalization, and more ? Set up various libraries and platforms, such as OpenCV, Keras, and Tensorflow, in order to start using computer vision, along with appropriate datasets for each chapter, such as MSCOCO, MOT, and Fashion-MNIST ? Understand image transformation and downsampling with practical implementations. ? Explore neural networks for computer vision and convolutional neural networks using Keras ? Understand working on deep-learning-based object detection such as Faster-R-CNN, SSD, and more ? Explore deep-learning-based object tracking in action ? Understand Visual SLAM techniques such as ORB-SLAM In Detail In this book, you will find several recently proposed methods in various domains of computer vision. You will start by setting up the proper Python environment to work on practical applications. This includes setting up libraries such as OpenCV, TensorFlow, and Keras using Anaconda. Using these libraries, you'll start to understand the concepts of image transformation and filtering. You will find a detailed explanation of feature detectors such as FAST and ORB; you'll use them to find similar-looking objects. With an introduction to convolutional neural nets, you will learn how to build a deep neural net using Keras and how to use it to classify the Fashion-MNIST dataset. With regard to object detection, you will learn the implementation of a simple face detector as well as the workings of complex deep-learning-based object detectors such as Faster R-CNN and SSD using TensorFlow. You'll get started with semantic segmentation using FCN models and track objects with Deep SORT. Not only this, you will also use Visual SLAM techniques such as ORB-SLAM on a standard dataset. By the end of this book, you will have a firm understanding of the different computer vision techniques and how to apply them in your applications. Style and approach Step-by-step guide filled with real-world, practical examples for understanding and applying various Computer Vision techniques

5 real-world projects to help you master deep learning concepts About This Book ? Master the different deep learning paradigms and build real-world projects related to text generation, sentiment analysis, fraud detection, and more ? Get to grips with R's impressive range of Deep Learning libraries and frameworks such as deepnet, MXNetR, Tensorflow, H2O, Keras, and text2vec ? Practical projects that show you how to implement different neural networks with helpful tips, tricks, and best practices Who This Book Is For Machine learning professionals and data scientists looking to master deep learning by implementing practical projects in R will find this book a useful resource. A knowledge of R programming and the basic concepts of deep learning is required to get the best out of this book. What You Will Learn ? Instrument Deep Learning models with packages such as deepnet, MXNetR, Tensorflow, H2O, Keras, and text2vec ? Apply neural networks to perform handwritten digit recognition using MXNet ? Get the knack of CNN models, Neural Network API, Keras, and TensorFlow for traffic sign classification ? Implement credit card fraud detection with Autoencoders ? Master reconstructing images using variational autoencoders ? Wade through sentiment analysis from movie reviews ? Run from past to future and vice versa with bidirectional Long Short-Term Memory (LSTM) networks ? Understand the applications of Autoencoder Neural Networks in clustering and dimensionality reduction In Detail R is a popular programming language used by statisticians and mathematicians for statistical analysis, and is popularly used for deep learning. Deep Learning, as we all know, is one of the trending topics today, and is finding practical applications in a lot of domains. This book demonstrates end-to-end implementations of five real-world projects on popular topics in deep learning such as handwritten digit recognition, traffic light detection, fraud detection, text generation, and sentiment analysis. You'll learn how to train effective neural networks in R—including convolutional neural networks, recurrent neural networks, and LSTMs—and apply them in practical scenarios. The book also highlights how neural networks can be trained using GPU capabilities. You will use popular R libraries and packages—such as MXNetR, H2O, deepnet, and more—to implement the projects. By the end of this book, you will have a better understanding of deep learning concepts and techniques and how to use them in a practical setting. Style and approach This book's unique, learn-as-you-do approach ensures the reader builds on his understanding of deep learning progressively with each project. This book is designed in such a way that implementing each project will empower you with a unique skillset and enable you to implement the next project more confidently.