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

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

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  • 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. 

     

    1. Introduction 
    2. ML Model Optimization 
    3. Model Compression (Pruning and Quantization) 
    4. Step-by-step practice with Jupyter notebook 
    5. Q&A and interaction with participants

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    • Start date
      9 November 2022 at 11:00 CET Geneva | 05:00-05:50 EST, New York | 17:00-17:50 CST, Beijing
    • End date
      9 November 2022 at 11:50 CET Geneva | 05:00-05:50 EST, New York | 17:00-17:50 CST, Beijing
    • Duration
      50 minutes
    • Programme stream
    • Topics
    • UN SDGs

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