Feedforward Neural Networks: Fundamentals and Applications for The Architecture of Thinking Machines and Neural Webs
Пра гэту аўдыякнігу
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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