Artificial Intelligence for Humans, Volume 3

Artificial Intelligence for Humans, Volume 3

Author: Jeff Heaton

Publisher: Createspace Independent Publishing Platform

ISBN: 1505714346

Category:

Page: 374

View: 587

Neural networks have been a mainstay of artificial intelligence since its earliest days. Now, exciting new technologies such as deep learning and convolution are taking neural networks in bold new directions. In this book, we will demonstrate the neural networks in a variety of real-world tasks such as image recognition and data science. We examine current neural network technologies, including ReLU activation, stochastic gradient descent, cross-entropy, regularization, dropout, and visualization.
Neural Network Learning in Human
Language: en
Pages: 343

Neural Network Learning in Human

Authors: Giselher Schalow
Categories: MEDICAL
Type: BOOK - Published: 2015 - Publisher:

Based on human neurophysiology, it has been shown that the human brain and spinal cord can partly be repaired by movement-based learning. It seems that even to a very limited extent, new nerve cells can be built anew in the human central nervous system. Neural network learning starts with the
Exploring Neural Networks with C#
Language: en
Pages: 298

Exploring Neural Networks with C#

Authors: Ryszard Tadeusiewicz, Rituparna Chaki, Nabendu Chaki
Categories: Computers
Type: BOOK - Published: 2017-07-27 - Publisher: CRC Press

The utility of artificial neural network models lies in the fact that they can be used to infer functions from observationsmaking them especially useful in applications where the complexity of data or tasks makes the design of such functions by hand impractical.Exploring Neural Networks with C# presents the important properties
Human Memory Modeled with Standard Analog and Digital Circuits
Language: en
Pages: 318

Human Memory Modeled with Standard Analog and Digital Circuits

Authors: John Robert Burger
Categories: Computers
Type: BOOK - Published: 2009-07-31 - Publisher: John Wiley & Sons

Gain a new perspective on how the brain works and inspires new avenues for design in computer science and engineering This unique book is the first of its kind to introduce human memory and basic cognition in terms of physical circuits, beginning with the possibilities of ferroelectric behavior of neural
Neural Smithing
Language: en
Pages: 360

Neural Smithing

Authors: Russell Reed, Robert J Marks, II
Categories: Computers
Type: BOOK - Published: 1999-02-17 - Publisher: MIT Press

Artificial neural networks are nonlinear mapping systems whose structure is loosely based on principles observed in the nervous systems of humans and animals. The basic idea is that massive systems of simple units linked together in appropriate ways can generate many complex and interesting behaviors. This book focuses on the
Human Behavior Learning and Transfer
Language: en
Pages: 352

Human Behavior Learning and Transfer

Authors: Yangsheng Xu, Ka Keung C. Lee
Categories: Technology & Engineering
Type: BOOK - Published: 2005-09-06 - Publisher: CRC Press

Bridging the gap between human-computer engineering and control engineering, Human Behavior Learning and Transfer delineates how to abstract human action and reaction skills into computational models. The authors include methods for modeling a variety of human action and reaction behaviors and explore processes for evaluating, optimizing, and transferring human skills.