Feedforward Neural Networks

What Is Feedforward Neural Networks

A feedforward neural network, often known as a FNN, is a type of artificial neural network that does not have connections that form a cycle between its nodes. Therefore, it is distinct from its offspring, which are known as recurrent neural networks.

How You Will Benefit

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

Chapter 1: Feedforward neural network

Chapter 2: Artificial neural network

Chapter 3: Perceptron

Chapter 4: Artificial neuron

Chapter 5: Multilayer perceptron

Chapter 6: Delta rule

Chapter 7: Backpropagation

Chapter 8: Types of artificial neural networks

Chapter 9: Learning rule

Chapter 10: Mathematics of artificial neural networks

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

(III) Real world examples for the usage of feedforward 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 feedforward 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.