Add to Favourites
To login click here
This article provides an overview of neural networks, a type of machine learning model that is loosely based on the human brain. It explains how neural networks work, how they are trained, and provides an example of how they can be used to recognize handwritten digits. Additionally, it explains the importance of using large labelled datasets when training neural networks.
