While 'artificial intelligence' has been floating around for a number of decades, in recent years 'neural networks' and 'deep learning' have emerged as powerful approaches to allow computers to autonomously learn from large amounts of data. From self-driving vehicles to smart mobile applications, AI is nowadays a ubiquitous part of modern society. Recent and ongoing developments in this field have led to substantial progress across a variety of disciplines, allowing researchers and the industry to address complex challenges and develop novel approaches and applications. Deep learning networks, a special type of artificial neural networks, operate by extracting highly abstract data representations from datasets. In this talk, I will survey the latest advances and trends in deep learning ranging from basic convolutional neural networks to generative adversarial networks. Whether you are already an expert or are just starting, this talk will provide new insights into the field that is changing the world.
