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Last modified by Judith Steinfeld on 2025/06/03 11:13
From version 46.1
edited by Judith Steinfeld
on 2024/07/30 11:46
on 2024/07/30 11:46
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To version 45.1
edited by Judith Steinfeld
on 2024/07/30 11:31
on 2024/07/30 11:31
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... ... @@ -40,8 +40,6 @@ 40 40 Dr. Andrea Santamaria Garcia, 41 41 42 42 Chenran Xu 43 - 44 -ARBEITSGRUPPE 45 45 ))) 46 46 |[[Introduction to Articifial Networks - Pt. 2 >>https://indico.desy.de/event/40559/sessions/16119/attachments/88695/118960/nns-part2.pdf]]|neural network building blocks, deep learning, artificial networks|basic|02/2024|((( 47 47 PDF ... ... @@ -54,13 +54,13 @@ 54 54 55 55 Chenran Xu 56 56 ))) 57 -|[[Tutorials - Introduction to Artificial Networks>>https://github.com/dkgithub/wiehl24]]|neural network building blocks, deep learning, artificial networks , pytorch|basic|02/2024|(((55 +|[[Tutorials - Introduction to Artificial Networks>>https://github.com/dkgithub/wiehl24]]|neural network building blocks, deep learning, artificial networks|basic|02/2024|((( 58 58 Link 59 59 60 60 {{displayIcon name="application_view_list"/}} 61 61 62 62 63 -)))|tutorial , hands-on, excercises|(((61 +)))|tutorial|((( 64 64 Dr. Andrea Santamaria Garcia, 65 65 66 66 Chenran Xu ... ... @@ -74,74 +74,59 @@ 74 74 PDF 75 75 76 76 {{displayIcon name="page_white_acrobat"/}} 77 - 78 - 79 79 )))|lecture|Sebastian Wozniewski 80 80 |[[Mastering Model Building: Methods and tools (a crash course)>>https://indico.desy.de/event/40559/contributions/149592/attachments/88698/118990/blocks2.pdf]]|mastering model building|basic|02/2024|((( 81 81 PDF 82 82 83 83 {{displayIcon name="page_white_acrobat"/}} 84 -)))|lecture| DirkKrücker80 +)))|lecture| 85 85 |[[Tutorials - Mastering Model Building>>https://github.com/dkgithub/wiehl24]]|mastering model building|basic|02/2024|((( 86 86 PDF 87 87 88 -((( 89 89 {{displayIcon name="page_white_acrobat"/}} 90 -))) 91 -)))|tutorial, hands-on, excercises|Dirk Krücker 92 -|((( 93 -[[Mastering Model Building>>https://indico.desy.de/event/37303/sessions/14382/attachments/80384/105130/230228_mastering_model_building.pdf]] 85 +)))|tutorial|Dirk Krücker 86 +| | | | | | | 87 +| | | | | | | 94 94 95 - 96 -)))|mastering model building|basic|02/2023|((( 97 -PDF 98 98 99 -{{displayIcon name="page_white_acrobat"/}} 100 -)))|lecture|Niclas Eich 101 -|((( 102 -[[Hands-On 1: Tenserflow-Playground>>http://playground.tensorflow.org/#activation=tanh®ularization=L2&batchSize=10&dataset=gauss®Dataset=reg-plane&learningRate=0.03®ularizationRate=0&noise=25&networkShape=8,8,8,8,8,8&seed=0.88798&showTestData=false&discretize=false&percTrainData=20&x=true&y=true&xTimesY=true&xSquared=true&ySquared=true&cosX=false&sinX=true&cosY=false&sinY=true&collectStats=false&problem=classification&initZero=false&hideText=false]] 103 -)))|mastering model building, tenserflow|basic|02/2023|((( 104 -Link 90 +{{liveData showPageSizeDropdown="false"}}{{/liveData}} 105 105 106 -{{displayIcon name="application_view_list"/}} 107 -)))|tutorial, hands-on, excercises|((( 108 -Niclas Eich 109 -))) 110 -|((( 111 -[[Hands-On 2: Mass-Regression>>https://colab.research.google.com/drive/1UdiLP-MLTLlB8t4zE2qMwibt3BRbFawd?usp=sharing]] 112 -)))|mastering model building, mass-regression|basic|02/2023|((( 113 -Link 114 114 115 -{{displayIcon name="application_view_list"/}} 116 -)))|tutorial, hands-on, excercises|Niclas Eich 117 -|[[Hands-On 3: Jet-flavour Classification>>https://colab.research.google.com/drive/13O8wxap5oxp1ovUTBjNc__tOwE7PojyC?usp=sharing]]|mastering model building, jet-flavour classification|basic|02/2023|((( 118 -Link 93 +=== Basic Concepts === 119 119 120 -{{displayIcon name="application_view_list"/}} 121 -)))|tutorial, hands-on, excercises|Niclas Eich 122 -|[[Convolutional Neural Networks>>https://indico.desy.de/event/40559/sessions/16121/attachments/88729/119021/CNN_SKaes.pdf]]|convolutional neural networks|basic|02/2024|((( 123 -PDF 95 +---- 124 124 125 -{{displayIcon name="page_white_acrobat"/}} 126 -)))|lecture|Stephanie Käs 127 -|((( 128 -[[Exercises - Convolutional Neural Networks>>https://indico.desy.de/event/40559/sessions/16121/attachments/88729/119040/Wiehl_Exercises_CNN.pdf]] 97 +=== **Neural Network Building Blocks** === 129 129 130 -[[Exercises Solution>>https://indico.desy.de/event/40559/sessions/16121/attachments/88729/119131/Wiehl_Exercises_CNN_Solution.pdf]] 99 +* [[Introduction to Articifial Networks - Pt. >>https://indico.desy.de/event/40559/sessions/16119/attachments/88695/118961/nns-part1.pdf]] {{displayIcon name="page_white_acrobat"/}} 100 +* [[Introduction to Articifial Networks - Pt. >>https://indico.desy.de/event/40559/sessions/16119/attachments/88695/118961/nns-part1.pdf]] {{displayIcon name="page_white_acrobat"/}} 101 +** [[Tutorial>>https://github.com/machine-learning-tutorial/neural-networks/tree/main]] {{displayIcon name="application_view_list"/}} 102 +* [[Neural Network Building Blocks (1/2)>>https://indico.desy.de/event/37303/sessions/14381/attachments/80383/105122/DL%20School%20-%20Lecture%201,%20Part%201.pdf]] {{displayIcon name="page_white_acrobat"/}} 103 +* ((( 104 +[[Neural Network Building Blocks (2/2)>>https://indico.desy.de/event/37303/sessions/14381/attachments/80383/105131/DL%20School%20-%20Lecture%201,%20Part%202.pdf]] {{displayIcon name="page_white_acrobat"/}} 105 +))) 131 131 132 - 133 -)))|convolutional neural networks|basic|02/2024|((( 134 -PDF 107 +=== === 135 135 136 -{{displayIcon name="page_white_acrobat"/}} 137 -)))|tutorial, hands-on, excercises|Stephanie Käs 138 -| | | | | | | 109 +=== **Mastering Model Building** === 139 139 140 -{{liveData showPageSizeDropdown="false"}}{{/liveData}} 111 +* [[Mastering Model Builing: Methods and tools (a crash course)>>https://indico.desy.de/event/40559/contributions/149592/attachments/88698/118990/blocks2.pdf]] {{displayIcon name="page_white_acrobat"/}} 112 +** [[Tutorials>>https://github.com/dkgithub/wiehl24]] {{displayIcon name="application_view_list"/}} 113 +* [[Mastering Model Building >>https://indico.desy.de/event/37303/sessions/14382/attachments/80384/105130/230228_mastering_model_building.pdf]] 114 +** [[Hands-On 1: Tenserflow-Playground>>http://playground.tensorflow.org/#activation=tanh®ularization=L2&batchSize=10&dataset=gauss®Dataset=reg-plane&learningRate=0.03®ularizationRate=0&noise=25&networkShape=8,8,8,8,8,8&seed=0.88798&showTestData=false&discretize=false&percTrainData=20&x=true&y=true&xTimesY=true&xSquared=true&ySquared=true&cosX=false&sinX=true&cosY=false&sinY=true&collectStats=false&problem=classification&initZero=false&hideText=false]] {{displayIcon name="application_view_list"/}} 115 +** [[Hands-On 2: Mass-Regression>>https://colab.research.google.com/drive/1UdiLP-MLTLlB8t4zE2qMwibt3BRbFawd?usp=sharing]] {{displayIcon name="application_view_list"/}} 116 +** [[Hands-On 3: Jet-flavour Classification>>https://colab.research.google.com/drive/13O8wxap5oxp1ovUTBjNc__tOwE7PojyC?usp=sharing]] {{displayIcon name="application_view_list"/}} 141 141 118 +=== === 142 142 143 - 120 +=== **Convolutional Neural Networks** === 144 144 122 +* [[Convolutional Neural Networks>>https://indico.desy.de/event/40559/sessions/16121/attachments/88729/119021/CNN_SKaes.pdf]] {{displayIcon name="page_white_acrobat"/}} 123 +** [[Exercises>>https://indico.desy.de/event/40559/sessions/16121/attachments/88729/119040/Wiehl_Exercises_CNN.pdf]] {{displayIcon name="page_white_acrobat"/}} 124 +** [[Exercises Solution>>https://indico.desy.de/event/40559/sessions/16121/attachments/88729/119131/Wiehl_Exercises_CNN_Solution.pdf]] {{displayIcon name="page_white_acrobat"/}} 125 + 126 +---- 127 + 145 145 === === 146 146 147 147 === Adcanced Concepts ===