Artificial Neural Networks and Applications

In this video, Prof. Cheng will introduce Artificial Neural Networks. He will start with the fundamental concept of Artificial Neural Networks, brief Introduction of deep learning, and applications.

Prof. Cheng will first introduce the Artificial neural network (ANN). ANN is a computational model that consists of several processing elements that receive inputs and deliver outputs based on their predefined activation functions. ANN can be part of deep learning models. Deep learning is implemented by deep neural networks which are more complicated multi-layer neural networks. ALPHOGO is one of the most representative applications of deep learning.

Then, he will give some examples of Applications of Artificial Neural Networks applications. Artificial neural networks can be applied for AI to play video games. It can also be used for object detection. For example, Artificial neural networks YOLO can detect objects in real-time. It’s actually a difficult task for a robot to fetch objects of random shapes. Thus, Artificial neural networks can be applied for much more complicated tasks even in decision making, recognition, etc. These developments has great potential in applying in different fields.