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teaching:ss2018:ml4cv [2018/07/25 15:52]
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teaching:ss2018:ml4cv [2018/10/12 17:18] (current)
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| 13. {{teaching:ss2018:ml4cv:variationalinferenceii.pdf | Variational Inference II: Expectation Propagation / Sampling I}} \\ | 13. {{teaching:ss2018:ml4cv:variationalinferenceii.pdf | Variational Inference II: Expectation Propagation / Sampling I}} \\ |
| 14. {{teaching:ss2018:ml4cv:sampling.pdf | Sampling II}} \\ | 14. {{teaching:ss2018:ml4cv:sampling.pdf | Sampling II}} \\ |
| ==Exercises== | |
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| 0. {{teaching:ss2018:ml4cv:linalg_refresh.pdf | Linear Algebra Refresher}} | |
| {{teaching:ss2018:ml4cv:ex0_linalg.pdf | Linear Algebra Exercises}} | |
| {{teaching:ss2018:ml4cv:ex0_sol_linalg.pdf | Solutions}} | |
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| 1. {{teaching:ss2018:ml4cv:ex1_probs.pdf | Probabilistic Reasoning}} | |
| {{teaching:ss2018:ml4cv:ex1_sol_probs.zip | Solutions Notebook}} | |
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| 2. {{teaching:ss2018:ml4cv:ex2_regression.pdf | Regression}} | |
| {{teaching:ss2018:ml4cv:ex2_sol_regression.pdf | Solutions}} | |
| {{teaching:ss2018:ml4cv:polynomial_regression.zip | Code}} | |
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| 3. {{teaching:ss2018:ml4cv:ex3_pgms.pdf | Graphical Models |}} | |
| {{teaching:ss2018:ml4cv:graph.py.zip | graph.py.zip}} | |
| {{teaching:ss2018:ml4cv:ex3_sol_pgms.pdf | Solutions}} | |
| {{teaching:ss2018:ml4cv:graph_solution.zip | graph_solution.zip}} | |
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| 4. {{teaching:ss2018:ml4cv:ex4_icm.pdf | Graphical Models ||}} | |
| {{teaching:ss2018:ml4cv:images.zip | images.zip}} | |
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| 5. {{teaching:ss2018:ml4cv:ex5_bagging_boosting.pdf | Bagging & Boosting}} | |
| {{teaching:ss2018:ml4cv:banknote_auth.zip | banknote_auth.zip}} | |
| {{teaching:ss2018:ml4cv:ex5_sol_bagging_boosting.pdf | Solutions}} | |
| {{teaching:ss2018:ml4cv:adaboost.zip | Code}} | |
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| 6. {{teaching:ss2018:ml4cv:ex6_metric_learning.pdf | Metric Learning}} | |
| {{teaching:ss2018:ml4cv:ex6_sol_metric_learning.pdf | Solutions}} | |
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| 7. {{teaching:ss2018:ml4cv:ex7_hmm.pdf | Hidden Markov Models}} | |
| {{teaching:ss2018:ml4cv:ex7_sol_hmm.pdf | Solutions }} | |
| {{teaching:ss2018:ml4cv:viterbi.py.zip | Code}} | |
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| 8. {{teaching:ss2018:ml4cv:ex8_kernels_gps.pdf | Kernel Methods and GPs}} | |
| {{teaching:ss2018:ml4cv:ex8_sol_kernels_gps.pdf | Solutions}} | |
| {{teaching:ss2018:ml4cv:gp_regression.zip | Code}} **ADDED CODE**\\ | |
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| 9. {{teaching:ss2018:ml4cv:ex9_clustering1.pdf | Clustering 1}} | |
| {{teaching:ws2016:mlcv16:clustering.zip | clustering.zip}} | |
| {{teaching:ss2018:ml4cv:ex9_sol_clustering1.pdf | Solutions}} | |
| {{teaching:ss2018:ml4cv:clustering_sol.zip | Code}} | |
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| 10. {{teaching:ss2018:ml4cv:ex10_variational_inference.pdf | Variational Inference 1}} | |
| {{teaching:ss2018:ml4cv:ex10_sol_variational_inference.pdf | Solutions}} | |
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| 11. {{teaching:ss2018:ml4cv:ex11_sampling.pdf | Sampling}} | |
| {{teaching:ss2018:ml4cv:ex11_sol_sampling.pdf | Solutions}} | |
| {{teaching:ss2018:ml4cv:particle_filter.zip | Code}} | |
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| 12. {{teaching:ss2018:ml4cv:ex_sol_deepnets_extra.pdf | Deep Learning with Solutions}} **UPDATE** | |
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