Accelerated C++: Practical Programming By Example

Accelerated C++: Practical Programming By Example PDF Author: Andrew Koenig
Publisher: Pearson Education India
ISBN: 9788131726150
Category : C++ (Computer program language)
Languages : en
Pages : 356

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Book Description

Accelerated C++: Practical Programming By Example

Accelerated C++: Practical Programming By Example PDF Author: Andrew Koenig
Publisher: Pearson Education India
ISBN: 9788131726150
Category : C++ (Computer program language)
Languages : en
Pages : 356

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Book Description


Accelerated C+

Accelerated C+ PDF Author: Andrew Koenig
Publisher:
ISBN: 9788131741856
Category :
Languages : en
Pages : 353

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Book Description


Accelerated C++

Accelerated C++ PDF Author: Andrew Koenig
Publisher: Addison-Wesley Professional
ISBN:
Category : Computers
Languages : en
Pages : 360

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Book Description
This boxed-set of five volumes on C++ programming includes: Modern C++ Design; Accelerated C++; Essential C++; Exceptional C++; and More Exceptional C++.

Accelerated C++

Accelerated C++ PDF Author: Andrew Koenig
Publisher: Addison-Wesley
ISBN: 9780135166673
Category :
Languages : en
Pages : 400

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Ruminations on C++

Ruminations on C++ PDF Author: Andrew Koenig
Publisher: Addison-Wesley Professional
ISBN:
Category : Computers
Languages : en
Pages : 404

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Book Description
The authors begin by explaining why C++ is worth learning and then move on to the most important elements of C++. This book emphasizes understanding and practical use of the language. It explores the basics, covers inheritance and object-oriented programming, discusses templates and the powerful kind of abstraction they provide, and shows how to design and use libraries.

Practical C++ Programming

Practical C++ Programming PDF Author: Steve Oualline
Publisher: "O'Reilly Media, Inc."
ISBN: 144936716X
Category : Computers
Languages : en
Pages : 576

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Book Description
C++ is a powerful, highly flexible, and adaptable programming language that allows software engineers to organize and process information quickly and effectively. But this high-level language is relatively difficult to master, even if you already know the C programming language.The 2nd edition of Practical C++ Programming is a complete introduction to the C++ language for programmers who are learning C++. Reflecting the latest changes to the C++ standard, this 2nd edition takes a useful down-to-earth approach, placing a strong emphasis on how to design clean, elegant code.In short, to-the-point chapters, all aspects of programming are covered including style, software engineering, programming design, object-oriented design, and debugging. It also covers common mistakes and how to find (and avoid) them. End of chapter exercises help you ensure you've mastered the material.Practical C++ Programming thoroughly covers: C++ Syntax Coding standards and style Creation and use of object classes Templates Debugging and optimization Use of the C++ preprocessor File input/output Steve Oualline's clear, easy-going writing style and hands-on approach to learning make Practical C++ Programming a nearly painless way to master this complex but powerful programming language.

Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA

Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA PDF Author: Bhaumik Vaidya
Publisher: Packt Publishing Ltd
ISBN: 1789343682
Category : Computers
Languages : en
Pages : 373

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Book Description
Discover how CUDA allows OpenCV to handle complex and rapidly growing image data processing in computer and machine vision by accessing the power of GPU Key FeaturesExplore examples to leverage the GPU processing power with OpenCV and CUDAEnhance the performance of algorithms on embedded hardware platformsDiscover C++ and Python libraries for GPU accelerationBook Description Computer vision has been revolutionizing a wide range of industries, and OpenCV is the most widely chosen tool for computer vision with its ability to work in multiple programming languages. Nowadays, in computer vision, there is a need to process large images in real time, which is difficult to handle for OpenCV on its own. This is where CUDA comes into the picture, allowing OpenCV to leverage powerful NVDIA GPUs. This book provides a detailed overview of integrating OpenCV with CUDA for practical applications. To start with, you’ll understand GPU programming with CUDA, an essential aspect for computer vision developers who have never worked with GPUs. You’ll then move on to exploring OpenCV acceleration with GPUs and CUDA by walking through some practical examples. Once you have got to grips with the core concepts, you’ll familiarize yourself with deploying OpenCV applications on NVIDIA Jetson TX1, which is popular for computer vision and deep learning applications. The last chapters of the book explain PyCUDA, a Python library that leverages the power of CUDA and GPUs for accelerations and can be used by computer vision developers who use OpenCV with Python. By the end of this book, you’ll have enhanced computer vision applications with the help of this book's hands-on approach. What you will learnUnderstand how to access GPU device properties and capabilities from CUDA programsLearn how to accelerate searching and sorting algorithmsDetect shapes such as lines and circles in imagesExplore object tracking and detection with algorithmsProcess videos using different video analysis techniques in Jetson TX1Access GPU device properties from the PyCUDA programUnderstand how kernel execution worksWho this book is for This book is a go-to guide for you if you are a developer working with OpenCV and want to learn how to process more complex image data by exploiting GPU processing. A thorough understanding of computer vision concepts and programming languages such as C++ or Python is expected.

Programming

Programming PDF Author: Bjarne Stroustrup
Publisher: Pearson Education
ISBN: 0321992784
Category : Computers
Languages : en
Pages : 1312

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Book Description
An introduction to programming by the inventor of C++, Programming prepares students for programming in the real world. This book assumes that they aim eventually to write non-trivial programs, whether for work in software development or in some other technical field. It explains fundamental concepts and techniques in greater depth than traditional introductions. This approach gives students a solid foundation for writing useful, correct, maintainable, and efficient code. This book is an introduction to programming in general, including object-oriented programming and generic programming. It is also a solid introduction to the C++ programming language, one of the most widely used languages for real-world software. It presents modern C++ programming techniques from the start, introducing the C++ standard library to simplify programming tasks.

Practical Statecharts in C/C++

Practical Statecharts in C/C++ PDF Author: Miro Samek
Publisher: CRC Press
ISBN: 1578201101
Category : Computers
Languages : en
Pages : 412

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Book Description
'Downright revolutionary... the title is a major understatement... 'Quantum Programming' may ultimately change the way embedded software is designed.' -- Michael Barr, Editor-in-Chief, Embedded Systems Programming magazine (Click here

Deep Learning for Coders with fastai and PyTorch

Deep Learning for Coders with fastai and PyTorch PDF Author: Jeremy Howard
Publisher: O'Reilly Media
ISBN: 1492045497
Category : Computers
Languages : en
Pages : 624

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Book Description
Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala