Applications of SVM in Real World
SVMs depends on supervised learning algorithms. The aim of using SVM is to correctly classify unseen data. SVMs have a number of applications in several fields.
Some common applications of SVM are-
Added by Sheetal Sharma on August 17, 2017 at 11:30pm — No Comments
Learning of neural network takes place on the basis of a sample of the population under study. During the course of learning, compare the value delivered by output unit with actual value. After that adjust the weights of all units so to improve the prediction.
There are many Neural Network Algorithms are available for training …Continue
Added by Sheetal Sharma on August 15, 2017 at 7:00pm — No Comments
There are various Artificial Neural Network Models. Main ones are
Added by Sheetal Sharma on August 10, 2017 at 7:30pm — No Comments
Artificial Neural networks (ANN) or neural networks are computational algorithms.
It intended to simulate the behavior of biological systems composed of “neurons”. ANNs are computational models inspired by an animal’s central nervous systems. It is capable of machine learning as well as pattern recognition. These…Continue
Added by Sheetal Sharma on August 8, 2017 at 7:00pm — No Comments
Some of the machine learning applications are:
One of the most common uses of machine learning is image…Continue