Book Image

Expert C++ - Second Edition

By : Marcelo Guerra Hahn, Araks Tigranyan, John Asatryan, Vardan Grigoryan, Shunguang Wu
5 (1)
Book Image

Expert C++ - Second Edition

5 (1)
By: Marcelo Guerra Hahn, Araks Tigranyan, John Asatryan, Vardan Grigoryan, Shunguang Wu

Overview of this book

Are you an experienced C++ developer eager to take your skills to the next level? This updated edition of Expert C++ is tailored to propel you toward your goals. This book takes you on a journey of building C++ applications while exploring advanced techniques beyond object-oriented programming. Along the way, you'll get to grips with designing templates, including template metaprogramming, and delve into memory management and smart pointers. Once you have a solid grasp of these foundational concepts, you'll advance to more advanced topics such as data structures with STL containers and explore advanced data structures with C++. Additionally, the book covers essential aspects like functional programming, concurrency, and multithreading, and designing concurrent data structures. It also offers insights into designing world-ready applications, incorporating design patterns, and addressing networking and security concerns. Finally, it adds to your knowledge of debugging and testing and large-scale application design. With Expert C++ as your guide, you'll be empowered to push the boundaries of your C++ expertise and unlock new possibilities in software development.
Table of Contents (24 chapters)
1
Part 1:Under the Hood of C++ Programming
7
Part 2: Designing Robust and Efficient Applications
18
Part 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:

Figure 16.9 – A neuron in the human brain

Figure 16.9 – A neuron in the human brain

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’s neuron structure:

Figure 16.10 – The human brain’s neuron structure

Figure 16.10 – The human brain’s neuron structure

ANNs consist of interconnected artificial neurons or nodes organized in layers, and they are primarily used for ML and pattern recognition tasks....