Avsnittsöversikt

◄Project 3

  • Project 4 (Practical applications)

    Posting date: Jan 27

    Report due date: Mar 9 

    Oral Presentation dates:  Mar 9

    Two students as a group pick up a dataset from a database or search engine, eg , 

    1) Kaggle datasets (www.kaggle.com)

    2) UCI ​​ML repository (https://archive.ics.uci.edu/ml/index.php)

    3) Google datasets search engine (https://datasetsearch.research.google.com)

    4) Microsoft datasets (https://msropendata.com)

    5) Awesome public datasets (https://github.com/awesomedata/awesome-public-datasets)

    then analyze it using any deep learning method with suitable regularization and present the result orally for the class (~20 mins). A written report from the group will be submitted to the course page (see the report due date above).

    Grading of your report and presentation of Project 4 will be based on the following criteria:

    - Apply appropriate advanced deep learning method to the chosen dataset (25p)

    - Display understanding of the method and knowledge about theoretical background (25p)

    - Correctly interpret the analysis results (25p)

    - Present the method and result in oral and report clearly and logically (25p)

◄Project 3