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Battle-hardened advice on efficient data loading for deep learning on videos - Valentin Haenel

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Published on Aug 1, 2018

PyData Berlin 2018

Getting GPUs fully utilized can be tricky when dealing with video data. In this talk I will explore this topic in depth and present some insights gained during a year of Deep Learning on videos at TwentyBN. The talk will feature set of best practices and some open source recommendations that can help accelerate your deep learning process on video problems in practice.

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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.

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