What are Artificial Neural Networks?

Artificial Neural Networks are computing systems composed of network of artificial neural cells. Computational Learning algorithms are used to adjust the parameter of these networks and hence optimize their performance for the targeted tasks. Artificial Neural Networks are one type of the computing systems within Machine Learning.

What are different types of Artificial Neural Networks? [read more]

At the highest level, the Artificial Neural Networks can be categorized into the following categories: Feed-forward Neural Networks, Recurrent Neural Networks, Stochastic Neural Networks, as well as Generative Adverserial Networks.

What are the applications of the Artificial Neural Networks? [read more]

The most popular application of Artificial Neural Networks include computer vision, natural language processing, medical image processing, recommendation systems, computer games, and speech recognition.