Maths for Intelligent Systems Course WS 19/20 U Stuttgart

Below is the material from last year's lecture. I'll update these during the lecture.

Script from last year (WS 18/19)

• paper

Exercise Sheets from last year (WS 18/19)

• e01-bases
• e02-svd
• e03-eigen (YOU HAVE UNTIL NOV 21st TO WORK ON THIS EXERCISE)
• e04-derivatives gradientChecking.ipynb backPropagation.ipynb
• e05-neuralNet backPropagation_gradientDescent.ipynb
• e06-unconstrainedOpt backtracking.ipynb
• e07-lagrangian (UPDATED: only 2 questions, due this week Jan 9 -- but you get full credits)
• e08-constrainedOpt dualFunction_and_LogBarrierMethod.ipynb
• e09-formulatingProblems minimumFuelOptimalControl.ipynb
• e10-globalOpt GP-UCB_helpcode.ipynb GP-UCB_globalOpt.ipynb backtracking_LocalOptima.ipynb
• exam-example

Further Material

• Last year's lecture
• Nathan Ratliff's material
• more material