Explainable AI - Methods, Applications & Recent Developments - Dr. Wojciech Samek | ODSC Europe 2019 скачать в хорошем качестве

Explainable AI - Methods, Applications & Recent Developments - Dr. Wojciech Samek | ODSC Europe 2019

Dr. Wojciech Samek discusses methods, applications and recent developments of Explainable AI, in particular, demonstrates the effectivity of explanation techniques such as Layer-wise Relevance Propagation (LRP) when applied to various datatypes (images, text, audio, video, EEG/fMRI signals) and neural architectures (ConvNets, LSTMs). LRP provides information about individual predictions, e.g., heatmaps visualizing which pixels have been most relevant for the model to arrive at its decision. The talk will finish with a discussion of challenges and open questions in the field of explainable AI. → To watch more videos like this, visit https://learnai.odsc.com/ ← Dr. Wojciech Samek has founded and is heading the Machine Learning Group at Fraunhofer Heinrich Hertz Institute since 2014. He studied computer science at Humboldt University of Berlin, Heriot-Watt University and University of Edinburgh from 2004 to 2010 and received the Dr. rer. nat. degree with distinction (summa cum laude) from the Technical University of Berlin in 2014. Do You Like This Video? Share Your Thoughts in Comments Below Visit our website and choose the nearest ODSC Event to attend and experience all our Trainings and Workshops: https://odsc.com/ Sign up for the newsletter to stay up to date with the latest trends in data science: https://opendatascience.com/newsletter/ Follow Us Online! • Facebook:   / opendatasci   • Instagram:   / odsc   • Blog: https://opendatascience.com/ • Linkedin:   / open-data-science   • Learning Videos: https://learnai.odsc.com #ODSC #AI #DataScience