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teaching:ws2017:ml4cv [2018/02/07 15:19] chiotell |
teaching:ws2017:ml4cv [2018/04/14 11:18] (current) chiotell |
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There is no tutorial on Monday, 20.11.2017. | There is no tutorial on Monday, 20.11.2017. |
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| ==Exam== |
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<html><font color="red"><b> | <html><font color="red"><b> |
As far as we know that does not affect you. You can come to the exam. | As far as we know that does not affect you. You can come to the exam. |
</b></font></html> | </b></font></html> |
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| No cheatsheets, calculators or other assistances are allowed. |
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| There is NO repeat exam. The course is offered again in the next semester. |
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==Lecture== | ==Lecture== |
12. {{teaching:ws2017:ml4cv:variationalinferencei.pdf | Variational Inference I}} \\ | 12. {{teaching:ws2017:ml4cv:variationalinferencei.pdf | Variational Inference I}} \\ |
13. {{teaching:ws2017:ml4cv:variationalinferenceii.pdf | Variational Inference II (EP)/ Sampling I}} \\ | 13. {{teaching:ws2017:ml4cv:variationalinferenceii.pdf | Variational Inference II (EP)/ Sampling I}} \\ |
| 14. {{teaching:ws2017:ml4cv:sampling.pdf | Sampling II (MCMC)}} \\ |
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==Exercises== | ==Exercises== |
0. {{teaching:ss2017:ml4cv:linalg_refresh.pdf | Linear Algebra Refresher}} | 0. {{teaching:ss2017:ml4cv:linalg_refresh.pdf | Linear Algebra Refresher}} |
{{teaching:ss2017:ml4cv:ex0_linalg.pdf | Linear Algebra Exercises}} | {{teaching:ss2017:ml4cv:ex0_linalg.pdf | Linear Algebra Exercises}} |
{{teaching:ws2017:ml4cv:ex0_sol_linalg.pdf | Solutions}} | \\ |
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1. {{teaching:ws2017:ml4cv:ex1_probs.pdf | Probabilistic Reasoning - Bayes Rule}} | 1. {{teaching:ws2017:ml4cv:ex1_probs.pdf | Probabilistic Reasoning - Bayes Rule}} |
{{teaching:ws2017:ml4cv:ex1_sol_probs.zip | Solutions}} | \\ |
<html><font color="red"><b> updated</b></font></html> | |
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2. {{teaching:ws2017:ml4cv:ex2_regression.pdf | Linear Regression}} | 2. {{teaching:ws2017:ml4cv:ex2_regression.pdf | Linear Regression}} |
{{teaching:ws2017:ml4cv:ex2_sol_regression.pdf | Solutions}} | \\ |
{{teaching:ws2017:ml4cv:polynomial_regression.zip | Code}} | |
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3. {{teaching:ws2017:ml4cv:ex3_pgms.pdf | Graphical Models}} {{teaching:ws2017:ml4cv:graph.py.zip | graph.py.zip}} | 3. {{teaching:ws2017:ml4cv:ex3_pgms.pdf | Graphical Models}} {{teaching:ws2017:ml4cv:graph.py.zip | graph.py.zip}} |
{{teaching:ws2017:ml4cv:ex3_sol_pgms.pdf | Solutions}} | |
{{teaching:ws2017:ml4cv:graph_solution.zip | Code}} | |
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4. {{teaching:ws2017:ml4cv:ex4_metric_learning.pdf | Metric Learning}} | 4. {{teaching:ws2017:ml4cv:ex4_metric_learning.pdf | Metric Learning}} |
{{teaching:ws2017:ml4cv:ex4_sol_metric_learning.pdf | Solutions}}\\ | \\ |
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5. {{teaching:ws2017:ml4cv:ex5_bagging_boosting.pdf | Bagging and Boosting}} | 5. {{teaching:ws2017:ml4cv:ex5_bagging_boosting.pdf | Bagging and Boosting}} |
{{teaching:ss2016:mlcv16:banknote_auth.zip | banknote_auth.zip}} | {{teaching:ss2016:mlcv16:banknote_auth.zip | banknote_auth.zip}} |
{{teaching:ws2017:ml4cv:ex5_sol_bagging_boosting.pdf | Solutions}} | |
{{teaching:ws2017:ml4cv:adaboost.zip | Code}} | |
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6. {{teaching:ws2017:ml4cv:ex6_hmm.pdf | Hidden Markov Models}} | 6. {{teaching:ws2017:ml4cv:ex6_hmm.pdf | Hidden Markov Models}} |
{{teaching:ws2017:ml4cv:ex6_sol_hmm.pdf | Solutions}} | |
{{teaching:ws2017:ml4cv:viterbi.py.zip | Code}} | |
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7. {{teaching:ws2017:ml4cv:ex7_kernels_gps.pdf | Kernels and Gaussian Processes}} | 7. {{teaching:ws2017:ml4cv:ex7_kernels_gps.pdf | Kernels and Gaussian Processes}} |
{{teaching:ws2017:ml4cv:ex7_sol_kernels_gps.pdf | Solutions}} | |
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8. {{teaching:ws2017:ml4cv:ex8_deepnets_vladi.pdf | Deep Neural Networks}} | 8. {{teaching:ws2017:ml4cv:ex8_deepnets_vladi.pdf | Deep Neural Networks}} |
{{teaching:ws2017:ml4cv:ex8_sol_deepnets_vladi.pdf | Solutions}} | |
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9. {{teaching:ws2017:ml4cv:ex9_clustering1.pdf | Clustering}} | 9. {{teaching:ws2017:ml4cv:ex9_clustering1.pdf | Clustering}} |
{{teaching:ws2016:mlcv16:clustering.zip | clustering.zip}} | {{teaching:ws2016:mlcv16:clustering.zip | clustering.zip}} |
{{teaching:ws2017:ml4cv:ex9_sol_clustering1.pdf | Solutions}} | |
{{teaching:ws2017:ml4cv:clustering_sol.zip | Code}} | |
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10. {{teaching:ws2017:ml4cv:ex10_variational_inference.pdf | Variational Inference}} | 10. {{teaching:ws2017:ml4cv:ex10_variational_inference.pdf | Variational Inference}} |
{{teaching:ws2017:ml4cv:ex10_sol_variational_inference.pdf | Solutions}} | |
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11. {{teaching:ws2017:ml4cv:ex11_sampling.pdf | Sampling Methods}} | 11. {{teaching:ws2017:ml4cv:ex11_sampling.pdf | Sampling Methods}} |
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