[PyData] It is never too much: training deep learning models with more than one modality - Adam Słucki

PyData Warsaw 2018 Using visual features alone is not enough to fully exploit content of social media videos. We propose a whole pipeline for extracting textual data embedded in videos and fusing them with the original visual data to predict drops in viewer’s retention. === 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.