Learning Methods of Artificial Neural Networks
The learning of artificial neural networks mainly refers to the use of learning algorithms to adjust the connection weights between neurons, so that the network output better matches reality. Learning algorithms are divided into supervised learning and unsupervised learning. Supervised learning, also known as teacher-based learning, is a learning method where a set of training … Read more