Book Image

Expert C++

By : Vardan Grigoryan, Shunguang Wu
5 (1)
Book Image

Expert C++

5 (1)
By: Vardan Grigoryan, Shunguang Wu

Overview of this book

C++ has evolved over the years and the latest release – C++20 – is now available. Since C++11, C++ has been constantly enhancing the language feature set. With the new version, you’ll explore an array of features such as concepts, modules, ranges, and coroutines. This book will be your guide to learning the intricacies of the language, techniques, C++ tools, and the new features introduced in C++20, while also helping you apply these when building modern and resilient software. You’ll start by exploring the latest features of C++, and then move on to advanced techniques such as multithreading, concurrency, debugging, monitoring, and high-performance programming. The book will delve into object-oriented programming principles and the C++ Standard Template Library, and even show you how to create custom templates. After this, you’ll learn about different approaches such as test-driven development (TDD), behavior-driven development (BDD), and domain-driven design (DDD), before taking a look at the coding best practices and design patterns essential for building professional-grade applications. Toward the end of the book, you will gain useful insights into the recent C++ advancements in AI and machine learning. By the end of this C++ programming book, you’ll have gained expertise in real-world application development, including the process of designing complex software.
Table of Contents (22 chapters)
1
Section 1: Under the Hood of C++ Programming
7
Section 2: Designing Robust and Efficient Applications
17
Section 3: C++ in the AI World

Neural networks

Neural networks are designed to recognize patterns. They are modeled after the human brain; more specifically, we speak about neurons of the brain and their artificial counterparts – artificial neurons. A neuron in the human brain is illustrated in the following diagram:

A neuron communicates with other neurons via synapses. The basic functionality of a neuron is processing a portion of data and producing signals based on that data. In programming terms, a neuron takes a set of inputs and produces an output.

That's why the following diagram makes it clear why an artificial neuron is similar to the human brain neuron structure:

An ANN is a much simplified model of a natural neural network. It represents a group of interconnected nodes, each node representing a model after a neuron. Each node connection can transmit signals similar to synapses in biological...