The Introduction to Deep Learning course is an excellent approach to this technology that is at the center of the current revolution in artificial intelligence for multimedia data analysis. The convergence of large-scale annotated data sets and affordable GPU hardware has enabled the training of neural networks for data analysis tasks previously addressed with hand-built features. Architectures such as convolutional neural networks, recurrent neural networks or Q-nets for reinforcement learning have set up a completely new scenario in signal processing. This course will cover the basic principles of deep learning from an algorithmic and computational perspective.
Big Data, Deep Learning, Machine Learning
Basic neural network model development
Professional Data Science
dynamic exercises, learning by doing, Slides, videos, workshops