Jonas Eschle: "The TensorFlow library and its application beyond machine learning"
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Europe/Moscow
Конференц-зал корпуса 3 ЛЯП
Конференц-зал корпуса 3 ЛЯП
Description
Machine Learning algorithms, especially the computational intense
artificial neural networks, have shown great success in the analysis and
prediction of big data sets in recent years. This has driven the
development of a data analysis ecosystem in Python, which lead to the
appearance of several deep learning libraries, TensorFlow being one of the
most prominent ones. Those frameworks specialize on efficient, large scale
numerical computations while being lightweight to use. While their main
purpose is the building and training of neural networks, they are also
used in a wider array of computational intense tasks. An example of such
is likelihood model fitting in High Energy Physics as done by the zfit
project and other libraries.
This talk will mainly cover the principles, functionality and
possibilities of the TensorFlow library and its extensions beyond its
usual application for machine learning.
