Topics chosen from: perceptrons, feedforward neural networks, backpropagation, Hopfield and Kohonen networks, restricted Boltzmann machine and autoencoders, deep convolutional networks for image processing; geometric and complexity analysis of trained neural networks; recurrent networks, language processing, semantic analysis, long short term memory; designing successful applications of neural networks; recent developments in neural networks and deep learning.networks; tensor product networks; and recent developments in neural networks. The assessment will include a lab project related to application of neural nets.