Abstract
A Support Vector Machine is used for the purpose of classification and
regression. In the previous chapter, we discussed Support Vector Machine, margin and
large margin methods, and kernel methods. A neural network refers to a parallel
computing device that attempts to mimic the model of the brain. In the following
chapter, we will discuss the early models of Neural Networks as well as the Perceptron
learning model, back propagation, and Stochastic Gradient Descent.
Keywords: Artificial neural network, Backpropagation, Data science, Machine learning, Neural network, Perceptron learning, Python
Related Journals
Recent Patents on Computer Science
The Chinese Journal of Artificial Intelligence
Current Chinese Computer Science
Journal of Fuzzy Logic and Modeling in Engineering
Current Machine Learning
Current E-Learning (Discontinued)
Wireless and Communication Letters
Recent Advances in Computer Science and Communications
Current Computer Science
International Journal of Sensors, Wireless Communications and Control
Related Books
Computational Intelligence For Data Analysis
Applied Machine Learning and Multi-Criteria Decision-Making in Healthcare
A First Course in Artificial Intelligence
Artificial Intelligence: Models, Algorithms and Applications
Advanced Computing Techniques: Implementation, Informatics and Emerging Technologies
Handbook of Mobile Application Development: A Guide to Selecting the Right Engineering and Quality Features
Applications of Modern High Performance Networks
Arduino Meets Matlab: Interfacing, Programs and Simulink
Arduino and SCILAB based Projects
