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teaching:ft1920:vl:convex [2019/12/09 15:19] ipa [Lecture Notes] |
teaching:ft1920:vl:convex [2019/12/19 14:17] ipa Add exercise sheet 10 |
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We recommend programming the exercises with Python and numpy. | We recommend programming the exercises with Python and numpy. | ||
A basic understanding of Python and numpy should be sufficient for most exercises. | A basic understanding of Python and numpy should be sufficient for most exercises. | ||
+ | |||
+ | ==== Using Mathematica ==== | ||
+ | Go to the [[https://www.wolfram.com/programming-lab/|Wolfram Programming Lab]] and click on the orange button. | ||
+ | This brings you to a tutorial notebook. With the file menu in the light grey bar you can create an empty notebook. | ||
+ | In the notebook you can paste the code from the code files below. | ||
+ | Execute the code with Shift+Enter. | ||
+ | |||
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- {{teaching:ft1920:vl:convex:files:uebungsblatt7.pdf | Exercise Sheet 7}} | - {{teaching:ft1920:vl:convex:files:uebungsblatt7.pdf | Exercise Sheet 7}} | ||
- {{teaching:ft1920:vl:convex:files:uebungsblatt8.pdf | Exercise Sheet 8}} | - {{teaching:ft1920:vl:convex:files:uebungsblatt8.pdf | Exercise Sheet 8}} | ||
+ | - {{teaching:ft1920:vl:convex:files:8_moreauenvelope.pdf | Mathematica code for visualizing the Moreau Envelope}} | ||
+ | - {{teaching:ft1920:vl:convex:files:8_sigmoid.pdf | Mathematica code for visualizing the Sigmoid function}} | ||
+ | - {{teaching:ft1920:vl:convex:files:8_logisticloss.pdf | Mathematica code for visualizing the logistic loss classifier}} | ||
+ | - {{teaching:ft1920:vl:convex:files:uebungsblatt9.pdf | Exercise Sheet 9}} | ||
+ | - {{teaching:ft1920:vl:convex:files:data_exercise_sheet_9.zip | Data}} | ||
+ | - {{teaching:ft1920:vl:convex:files:uebungsblatt10.pdf | Exercise Sheet 10}} |