From 9c6658a1592deea4aa3201f59aac8b2c0c28196f Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Pascal=20Simon=20B=C3=BChler?= <64488738+buehlpa@users.noreply.github.com> Date: Sat, 24 Feb 2024 10:41:33 +0100 Subject: [PATCH 1/2] Update index.md --- index.md | 32 ++++++++++++++++---------------- 1 file changed, 16 insertions(+), 16 deletions(-) diff --git a/index.md b/index.md index c4637ca..68ce4c1 100644 --- a/index.md +++ b/index.md @@ -87,41 +87,41 @@ The course is split in 8 sessions, each 4 lectures long. - [03_sol](https://github.com/tensorchiefs/dl_course_2024/blob/master/notebooks/03_fcnn_mnist_sol.ipynb), [03_sol_colab](https://colab.research.google.com/github/tensorchiefs/dl_course_2024/blob/master/notebooks/03_fcnn_mnist_sol.ipynb) - [04_sol](https://github.com/tensorchiefs/dl_course_2024/blob/master/notebooks/04_fcnn_mnist_shuffled_sol.ipynb), [04_sol_colab](https://colab.research.google.com/github/tensorchiefs/dl_course_2024/blob/master/notebooks/04_fcnn_mnist_shuffled_sol.ipynb) - [05_sol](https://github.com/tensorchiefs/dl_course_2024/blob/master/notebooks/05_cnn_edge_lover_sol.ipynb), [05_sol_colab](https://colab.research.google.com/github/tensorchiefs/dl_course_2024/blob/master/notebooks/05_cnn_edge_lover_sol.ipynb) - - [06_sol](https://github.com/tensorchiefs/dl_course_2024/blob/master/notebooks/06_cnn_mnist_shuffled_sol.ipynb) [colab](https://colab.research.google.com/github/tensorchiefs/dl_course_2024/blob/master/notebooks/06_cnn_mnist_shuffled_sol.ipynb) + - [06_sol](https://github.com/tensorchiefs/dl_course_2024/blob/master/notebooks/06_cnn_mnist_shuffled_sol.ipynb), [colab](https://colab.research.google.com/github/tensorchiefs/dl_course_2024/blob/master/notebooks/06_cnn_mnist_shuffled_sol.ipynb) - Day 3 - Topics: Convolutional neural networks (CNN) - Slides: [03_CNN](https://github.com/tensorchiefs/dl_course_2024/blob/master/slides/03_CNN.pdf) - Exercises and Homework: - - [07_cifar10_tricks](https://github.com/tensorchiefs/dl_course_2024/blob/master/notebooks/07_cifar10_tricks_sol.ipynb) [colab](https://colab.research.google.com/github/tensorchiefs/dl_course_2024/blob/master/notebooks/07_cifar10_tricks_sol.ipynb) + - [07_cifar10_tricks](https://github.com/tensorchiefs/dl_course_2024/blob/master/notebooks/07_cifar10_tricks_sol.ipynb), [colab](https://colab.research.google.com/github/tensorchiefs/dl_course_2024/blob/master/notebooks/07_cifar10_tricks_sol.ipynb) - [08_classification_transfer_learning_few_labels](https://github.com/tensorchiefs/dl_course_2024/blob/main/notebooks/08_classification_transfer_learining_few_labels.ipynb) [colab](https://colab.research.google.com/github/tensorchiefs/dl_course_2024/blob/main/notebooks/08_classification_transfer_learining_few_labels.ipynb) - + - Solutions to Exercises: - [08_sol](https://github.com/tensorchiefs/dl_course_2024/blob/master/notebooks/08_classification_transfer_learning_few_labels_sol.ipynb) [colab](https://colab.research.google.com/github/tensorchiefs/dl_course_2024/blob/main/notebooks/08_classification_transfer_learning_few_labels_sol.ipynb) - + - Day 4 - Topics: Details Backpropagation in DL, MaxLike-Principle - Slides: [04_Training_Details](https://github.com/tensorchiefs/dl_course_2024/blob/master/slides/04_Details.pdf) - Exercises and Homework: - - Backprop. linear regression eager [10_linreg_tensorflow](https://github.com/tensorchiefs/dl_course_2024/blob/master/notebooks/10_linreg_tensorflow.ipynb) [colab](https://colab.research.google.com/github/tensorchiefs/dl_course_2024/blob/master/notebooks/10_linreg_tensorflow.ipynb) - - Optional Backprop static graph[11_backpropagation](https://github.com/tensorchiefs/dl_course_2024/blob/master/notebooks/11_backpropagation.ipynb) [colab](https://colab.research.google.com/github/tensorchiefs/dl_course_2024/blob/master/notebooks/11_backpropagation.ipynb) - - Simple Max Like [12_maxlike](https://github.com/tensorchiefs/dl_book/blob/master/chapter_04/nb_ch04_01.ipynb) [colab](https://colab.research.google.com/github/tensorchiefs/dl_book/blob/master/chapter_04/nb_ch04_01.ipynb) - - Max Like MNIST [12b_mnist_loglike](https://github.com/tensorchiefs/dl_course_2024/blob/master/notebooks/12b_mnist_loglike.ipynb) [colab](https://colab.research.google.com/github/tensorchiefs/dl_course_2024/blob/master/notebooks/12b_mnist_loglike.ipynb) + - Backprop. linear regression eager [10_linreg_tensorflow](https://github.com/tensorchiefs/dl_course_2024/blob/master/notebooks/10_linreg_tensorflow.ipynb), [colab](https://colab.research.google.com/github/tensorchiefs/dl_course_2024/blob/master/notebooks/10_linreg_tensorflow.ipynb) + - Optional Backprop static graph[11_backpropagation](https://github.com/tensorchiefs/dl_course_2024/blob/master/notebooks/11_backpropagation.ipynb), [colab](https://colab.research.google.com/github/tensorchiefs/dl_course_2024/blob/master/notebooks/11_backpropagation.ipynb) + - Simple Max Like [12_maxlike](https://github.com/tensorchiefs/dl_book/blob/master/chapter_04/nb_ch04_01.ipynb), [colab](https://colab.research.google.com/github/tensorchiefs/dl_book/blob/master/chapter_04/nb_ch04_01.ipynb) + - Max Like MNIST [12b_mnist_loglike](https://github.com/tensorchiefs/dl_course_2024/blob/master/notebooks/12b_mnist_loglike.ipynb), [colab](https://colab.research.google.com/github/tensorchiefs/dl_course_2024/blob/master/notebooks/12b_mnist_loglike.ipynb) - Day 5 - Topics: Probabilistic Prediction Models - Slides: [05_Probabilistic_Models](https://github.com/tensorchiefs/dl_course_2024/blob/master/slides/05_Probabilistic_Modeling.pdf) - Exercises and Homework: - - Linear Regression with Tensorflow Probability [13_linreg_with_tfp](https://github.com/tensorchiefs/dl_course_2024/blob/master/notebooks/13_linreg_with_tfp.ipynb) [colab](https://colab.research.google.com/github/tensorchiefs/dl_course_2024/blob/master/notebooks/13_linreg_with_tfp.ipynb) - - Poisson Regression with Tensorflow Probability [14_poisreg_with_tfp](https://github.com/tensorchiefs/dl_course_2024/blob/master/notebooks/14_poisreg_with_tfp.ipynb) [colab](https://colab.research.google.com/github/tensorchiefs/dl_course_2024/blob/master/notebooks/14_poisreg_with_tfp.ipynb) + - Linear Regression with Tensorflow Probability [13_linreg_with_tfp](https://github.com/tensorchiefs/dl_course_2024/blob/master/notebooks/13_linreg_with_tfp.ipynb), [colab](https://colab.research.google.com/github/tensorchiefs/dl_course_2024/blob/master/notebooks/13_linreg_with_tfp.ipynb) + - Poisson Regression with Tensorflow Probability [14_poisreg_with_tfp](https://github.com/tensorchiefs/dl_course_2024/blob/master/notebooks/14_poisreg_with_tfp.ipynb), [colab](https://colab.research.google.com/github/tensorchiefs/dl_course_2024/blob/master/notebooks/14_poisreg_with_tfp.ipynb) - Solutions to Exercises: - - [13_Sol](https://github.com/tensorchiefs/dl_course_2024/blob/master/notebooks/13_linreg_with_tfp_sol.ipynb) [colab](https://colab.research.google.com/github/tensorchiefs/dl_course_2024/blob/master/notebooks/13_linreg_with_tfp_sol.ipynb) - - [14_Sol](https://github.com/tensorchiefs/dl_course_2024/blob/master/notebooks/14_poisreg_with_tfp_sol.ipynb) [colab](https://colab.research.google.com/github/tensorchiefs/dl_course_2024/blob/master/notebooks/14_poisreg_with_tfp_sol.ipynb) + - [13_Sol](https://github.com/tensorchiefs/dl_course_2024/blob/master/notebooks/13_linreg_with_tfp_sol.ipynb), [colab](https://colab.research.google.com/github/tensorchiefs/dl_course_2024/blob/master/notebooks/13_linreg_with_tfp_sol.ipynb) + - [14_Sol](https://github.com/tensorchiefs/dl_course_2024/blob/master/notebooks/14_poisreg_with_tfp_sol.ipynb), [colab](https://colab.research.google.com/github/tensorchiefs/dl_course_2024/blob/master/notebooks/14_poisreg_with_tfp_sol.ipynb) - Day 6 @@ -131,16 +131,16 @@ The course is split in 8 sessions, each 4 lectures long. - Regression with Tensorflow Probability on Images [15_faces_regression](https://github.com/tensorchiefs/dl_course_2024/blob/master/notebooks/15_faces_regression.ipynb) [colab](https://colab.research.google.com/github/tensorchiefs/dl_course_2024/blob/master/notebooks/15_faces_regression.ipynb) - Visualization of Network Decisions with GradCam [16_elephant_in_the_room](https://github.com/tensorchiefs/dl_course_2024/blob/master/notebooks/16_elephant_in_the_room.ipynb) [colab](https://colab.research.google.com/github/tensorchiefs/dl_course_2024/blob/master/notebooks/16_elephant_in_the_room.ipynb) - Solutions to Exercises: - - [15_Sol](https://github.com/tensorchiefs/dl_course_2024/blob/master/notebooks/15_faces_regression_sol.ipynb) [colab](https://colab.research.google.com/github/tensorchiefs/dl_course_2024/blob/master/notebooks/15_faces_regression_sol.ipynb) - - [16_Sol](https://github.com/tensorchiefs/dl_course_2024/blob/master/notebooks/16_elephant_in_the_room_sol.ipynb) [colab](https://colab.research.google.com/github/tensorchiefs/dl_course_2024/blob/master/notebooks/16_elephant_in_the_room_sol.ipynb) + - [15_Sol](https://github.com/tensorchiefs/dl_course_2024/blob/master/notebooks/15_faces_regression_sol.ipynb), [colab](https://colab.research.google.com/github/tensorchiefs/dl_course_2024/blob/master/notebooks/15_faces_regression_sol.ipynb) + - [16_Sol](https://github.com/tensorchiefs/dl_course_2024/blob/master/notebooks/16_elephant_in_the_room_sol.ipynb), [colab](https://colab.research.google.com/github/tensorchiefs/dl_course_2024/blob/master/notebooks/16_elephant_in_the_room_sol.ipynb) - Day 7 - Topics: Ensembling and Bayes - Slides: [07_ensembling_bayes](https://github.com/tensorchiefs/dl_course_2024/blob/master/slides/07_ensembling_bayes.pdf) - Exercises and Homework: - - Classification with Ensembles and Bayes [17_cifar10_ensemble_bayes](https://github.com/tensorchiefs/dl_course_2024/blob/master/notebooks/17_cifar10_classification_mc_and_vi_sol.ipynb) [colab](https://colab.research.google.com/github/tensorchiefs/dl_course_2024/blob/master/notebooks/17_cifar10_classification_mc_and_vi_sol.ipynb) - - Bayesian Model for Coin Toss [18_bayesian_coin_toss](https://github.com/tensorchiefs/dl_book/blob/master/chapter_07/nb_ch07_03.ipynb) [colab](https://colab.research.google.com/github/tensorchiefs/dl_book/blob/master/chapter_07/nb_ch07_03.ipynb) + - Classification with Ensembles and Bayes [17_cifar10_ensemble_bayes](https://github.com/tensorchiefs/dl_course_2024/blob/master/notebooks/17_cifar10_classification_mc_and_vi_sol.ipynb), [colab](https://colab.research.google.com/github/tensorchiefs/dl_course_2024/blob/master/notebooks/17_cifar10_classification_mc_and_vi_sol.ipynb) + - Bayesian Model for Coin Toss [18_bayesian_coin_toss](https://github.com/tensorchiefs/dl_book/blob/master/chapter_07/nb_ch07_03.ipynb), [colab](https://colab.research.google.com/github/tensorchiefs/dl_book/blob/master/chapter_07/nb_ch07_03.ipynb) - Day 8 - Topics: Bayes (continued), Projects From 082dbdc30317faefb0c45b40de6bbd8df0209bdf Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Pascal=20Simon=20B=C3=BChler?= <64488738+buehlpa@users.noreply.github.com> Date: Sat, 24 Feb 2024 10:44:11 +0100 Subject: [PATCH 2/2] Update index.md --- index.md | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/index.md b/index.md index 68ce4c1..eb6c73a 100644 --- a/index.md +++ b/index.md @@ -75,13 +75,13 @@ The course is split in 8 sessions, each 4 lectures long. - [Understanding convolution](https://towardsdatascience.com/intuitively-understanding-convolutions-for-deep-learning-1f6f42faee1) - [Convolution Video](https://www.youtube.com/watch?v=KuXjwB4LzSA&t=697s) - Exercises and Homework: - - [02_fcnn_with_banknote](https://github.com/tensorchiefs/dl_course_2024/blob/master/notebooks/02_fcnn_with_banknote.ipynb) [colab](https://colab.research.google.com/github/tensorchiefs/dl_course_2024/blob/master/notebooks/02_fcnn_with_banknote.ipynb) - - [03_fcnn_mnist](https://github.com/tensorchiefs/dl_course_2024/blob/master/notebooks/03_fcnn_mnist.ipynb) [colab](https://colab.research.google.com/github/tensorchiefs/dl_course_2024/blob/master/notebooks/03_fcnn_mnist.ipynb) - - [04_fcnn_mnist_shuffled](https://github.com/tensorchiefs/dl_course_2024/blob/master/notebooks/04_fcnn_mnist_shuffled.ipynb) [colab](https://colab.research.google.com/github/tensorchiefs/dl_course_2024/blob/master/notebooks/04_fcnn_mnist_shuffled.ipynb) - - [05_cnn_edge_lover](https://github.com/tensorchiefs/dl_course_2024/blob/master/notebooks/05_cnn_edge_lover.ipynb) [colab](https://colab.research.google.com/github/tensorchiefs/dl_course_2024/blob/master/notebooks/05_cnn_edge_lover.ipynb) - - [06_cnn_mnist_shuffled](https://github.com/tensorchiefs/dl_course_2024/blob/master/notebooks/06_cnn_mnist_shuffled.ipynb) [colab](https://colab.research.google.com/github/tensorchiefs/dl_course_2024/blob/master/notebooks/06_cnn_mnist_shuffled.ipynb) + - [02_fcnn_with_banknote](https://github.com/tensorchiefs/dl_course_2024/blob/master/notebooks/02_fcnn_with_banknote.ipynb), [colab](https://colab.research.google.com/github/tensorchiefs/dl_course_2024/blob/master/notebooks/02_fcnn_with_banknote.ipynb) + - [03_fcnn_mnist](https://github.com/tensorchiefs/dl_course_2024/blob/master/notebooks/03_fcnn_mnist.ipynb), [colab](https://colab.research.google.com/github/tensorchiefs/dl_course_2024/blob/master/notebooks/03_fcnn_mnist.ipynb) + - [04_fcnn_mnist_shuffled](https://github.com/tensorchiefs/dl_course_2024/blob/master/notebooks/04_fcnn_mnist_shuffled.ipynb), [colab](https://colab.research.google.com/github/tensorchiefs/dl_course_2024/blob/master/notebooks/04_fcnn_mnist_shuffled.ipynb) + - [05_cnn_edge_lover](https://github.com/tensorchiefs/dl_course_2024/blob/master/notebooks/05_cnn_edge_lover.ipynb), [colab](https://colab.research.google.com/github/tensorchiefs/dl_course_2024/blob/master/notebooks/05_cnn_edge_lover.ipynb) + - [06_cnn_mnist_shuffled](https://github.com/tensorchiefs/dl_course_2024/blob/master/notebooks/06_cnn_mnist_shuffled.ipynb), [colab](https://colab.research.google.com/github/tensorchiefs/dl_course_2024/blob/master/notebooks/06_cnn_mnist_shuffled.ipynb) - + - Solutions to Exercises: - [02_sol](https://github.com/tensorchiefs/dl_course_2024/blob/master/notebooks/02_fcnn_with_banknote_sol.ipynb), [02_sol_colab](https://colab.research.google.com/github/tensorchiefs/dl_course_2024/blob/master/notebooks/02_fcnn_with_banknote_sol.ipynb) - [03_sol](https://github.com/tensorchiefs/dl_course_2024/blob/master/notebooks/03_fcnn_mnist_sol.ipynb), [03_sol_colab](https://colab.research.google.com/github/tensorchiefs/dl_course_2024/blob/master/notebooks/03_fcnn_mnist_sol.ipynb)