CS474 Artificial Neural Networks

The course introduces the concepts of artificial neural networks and their use in solving pattern recognition problems. The course covers the topics of networks architectures, network parameterization, activation functions, artificial neuron models, Boltzmann machine neural network, convolutional neural network, learning algorithms. The course will also discuss the evolution of the architecture from learning to deep learning. (Prerequisite: MATH303)