ML5G Challenge tutorial #4: Machine Learning Model Optimization and Compression

As part of the Machine Learning in 5G Challenge, this tutorial is open to participants or students who are new to machine learning and their application to communication networks. The tutorial will cover the intermediate ML topics such as model optimization and compression. This will be followed by a Jupyter notebook practice covering model pruning and quantization, and a Q&A session at the end.

🎙 Speakers:
Thomas Basikolo‬
Young Expert - AI/ML
International Telecommunication Union (ITU)

Miya Nishio
Student
University of Tokyo

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Disclaimer:
The views and opinions expressed are those of the panelists and do not reflect the official policy of the ITU.

Видео ML5G Challenge tutorial #4: Machine Learning Model Optimization and Compression канала AI for Good