Einführung in Datenanalyse und maschinelles Lernen in der Physik
Lösungsvorschläge
- 01_intro_ex_1a_sol.ipynb
- 01_intro_ex_1b_sol.ipynb
- 01_intro_ex_2_sol.ipynb
- 02_fit_ex_3_sol.ipynb
- 02_fit_ex_4_sol.ipynb
- 02_fit_ex_5_sol.ipynb
- 03_ml_basics_ex_1_sol_magic.ipynb
- 03_ml_basics_ex_2_display_Cifar10_Greyscale.ipynb
- 03_ml_basics_ex_4_mlp_clothing.ipynb
- 03_ml_basics_simple_neural_network_exercise_solution.ipynb
- 03_ml_basics_tf_mlp_mnist_digits.ipynb
- 04_decision_trees_ex_1_sol_compare_tree_classifiers.ipynb
- 05_neural_networks_ex_1_sol_hyperparameter_optimization.ipynb
- 05_neural_networks_ex_2_sol_mnist_keras_apply.ipynb
- 05_neural_networks_ex_2_sol_mnist_keras_train.ipynb