Lecture Note: Probabilities, Energy, Boltzmann & Partition Function
pdf Probabilities & Energy.
Maths for Intelligent Systems Course WS 19/20 U Stuttgart
The lecture on Jan 28, and the tutorial on Jan 30 are cancelled
Below is the material from last year's lecture. I'll update these
during the lecture.
- Script from last year (WS 18/19)
- 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
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