Artificial Neural Networks

What Is Artificial Neural Networks

Computing systems that are inspired by the biological neural networks that make up animal brains are called artificial neural networks (ANNs). These systems are more commonly referred to as neural networks (NNs) or neural nets.

How You Will Benefit

(I) Insights, and validations about the following topics:

Chapter 1: Artificial neural network

Chapter 2: Artificial neuron

Chapter 3: Unsupervised learning

Chapter 4: Backpropagation

Chapter 5: Types of artificial neural networks

Chapter 6: Deep learning

Chapter 7: Convolutional neural network

Chapter 8: Long short-term memory

Chapter 9: Recurrent neural network

Chapter 10: History of artificial neural networks

(II) Answering the public top questions about artificial neural networks.

(III) Real world examples for the usage of artificial neural networks in many fields.

Who This Book Is For

Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of artificial neural networks.

What Is Artificial Intelligence Series

The Artificial Intelligence eBook series provides comprehensive coverage in over 200 topics. Each ebook covers a specific Artificial Intelligence topic in depth, written by experts in the field. The series aims to give readers a thorough understanding of the concepts, techniques, history and applications of artificial intelligence. Topics covered include machine learning, deep learning, neural networks, computer vision, natural language processing, robotics, ethics and more. The ebooks are written for professionals, students, and anyone interested in learning about the latest developments in this rapidly advancing field.
The Artificial Intelligence eBook series provides an in-depth yet accessible exploration, from the fundamental concepts to the state-of-the-art research. With over 200 volumes, readers gain a thorough grounding in all aspects of Artificial Intelligence. The ebooks are designed to build knowledge systematically, with later volumes building on the foundations laid by earlier ones. This comprehensive series is an indispensable resource for anyone seeking to develop expertise in artificial intelligence.