Deep Machine Learning, 7,5 credits

Deep machine learning methods are extensively used in a wide variety of applications in different fields such as speech understanding, computer vision, natural language processing, robotics etc. The purpose of the course is to introduce students to deep learning, from discussing basics of machine learning and neural networks, to understand how Convolutional Neural Networks (CNNs) and recent important advances in deep learning models, such as Deep Recurrent and Recursive Networks, Autoencoders, Generative Adversarial Networks (GAN), Long Short-Term Memory (LSTM), VGG, Resnet and DensNet are designed and work.