ECE 614

Deep Learning

Machine learning basics. Supervised and unsupervised learning. Feedforward neural networks, error back propagation algorithm, logistic and softmax regression, regularization. Auto-encoders, sparsity and feature learning under constraints Convolutional nets. Boltzmann machines

Units: 3.0