Alex is the Founder and Head of Data Science at NumberBoost, a data science consultancy that builds custom artificial intelligence solutions. NumberBoost has won startup competitions with MultiChoice, Mercedes-Benz, Lloyd's Register in London and NTT Data Japan. He organizes the Cape Town Machine Learning and Deep Learning Meetup groups and chaired the organizing committee for the 2018 Deep Learning IndabaX conference in Cape Town.
Accepted Talks:
Deep Neural Networks for Video Applications
Most CCTV video cameras exist as a sort of time machine for insurance purposes. Deep neural networks make it easy to convert video into actionable data which can be used to trigger real-time anomaly alerts and optimize complex business processes. In addition to commercial applications, deep learning can be used to analyze large amounts of video recorded from the point of view of animals to study complex behavior patterns impossible to otherwise analyze. This talk will present some theory of deep neural networks for video applications as well as academic research and several applied real-world industrial examples, with code examples in python.
