Vladimir Osin - Understanding Deep Neural Networks | PyData Eindhoven 2020

As deep learning practitioners, we would like to know what input features are responsible for our model decision and start treating our models as white boxes. In the literature, this problem is known as attribution. During this talk, we discuss this problem and several available solutions that you can start using already now in PyTorch ecosystem.

===
www.pydata.org

PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.

PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases. 00:00 Welcome!
00:10 Help us add time stamps or captions to this video! See the description for details.

Want to help add timestamps to our YouTube videos to help with discoverability? Find out more here: https://github.com/numfocus/YouTubeVideoTimestamps

Видео Vladimir Osin - Understanding Deep Neural Networks | PyData Eindhoven 2020 канала PyData