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Expert C++ - Second Edition

You're reading from  Expert C++ - Second Edition

Product type Book
Published in Aug 2023
Publisher Packt
ISBN-13 9781804617830
Pages 604 pages
Edition 2nd Edition
Languages
Authors (5):
Marcelo Guerra Hahn Marcelo Guerra Hahn
Profile icon Marcelo Guerra Hahn
Araks Tigranyan Araks Tigranyan
Profile icon Araks Tigranyan
John Asatryan John Asatryan
Profile icon John Asatryan
Vardan Grigoryan Vardan Grigoryan
Profile icon Vardan Grigoryan
Shunguang Wu Shunguang Wu
Profile icon Shunguang Wu
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Table of Contents (24) Chapters

Preface Part 1:Under the Hood of C++ Programming
Chapter 1: Building C++ Applications Chapter 2: Beyond Object-Oriented Programming Chapter 3: Understanding and Designing Templates Chapter 4: Template Meta Programming Chapter 5: Memory Management and Smart Pointers Part 2: Designing Robust and Efficient Applications
Chapter 6: Digging into Data Structures and Algorithms in STL Chapter 7: Advanced Data Structures Chapter 8: Functional Programming Chapter 9: Concurrency and Multithreading Chapter 10: Designing Concurrent Data Structures Chapter 11: Designing World-Ready Applications Chapter 12: Incorporating Design Patterns in C++ Applications Chapter 13: Networking and Security Chapter 14: Debugging and Testing Chapter 15: Large-Scale Application Design Part 3:C++ in the AI World
Chapter 16: Understanding and Using C++ in Machine Learning Tasks Chapter 17: Using C++ in Data Science Chapter 18: Designing and Implementing a Data Analysis Framework Index Other Books You May Enjoy

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....

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