Feedforward Neural Networks (eBook)

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.

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