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Last modified by Judith Steinfeld on 2025/06/03 11:13
From version 45.1
edited by Judith Steinfeld
on 2024/07/30 11:31
on 2024/07/30 11:31
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To version 46.1
edited by Judith Steinfeld
on 2024/07/30 11:46
on 2024/07/30 11:46
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... ... @@ -40,6 +40,8 @@ 40 40 Dr. Andrea Santamaria Garcia, 41 41 42 42 Chenran Xu 43 + 44 +ARBEITSGRUPPE 43 43 ))) 44 44 |[[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|((( 45 45 PDF ... ... @@ -52,13 +52,13 @@ 52 52 53 53 Chenran Xu 54 54 ))) 55 -|[[Tutorials - Introduction to Artificial Networks>>https://github.com/dkgithub/wiehl24]]|neural network building blocks, deep learning, artificial networks|basic|02/2024|((( 57 +|[[Tutorials - Introduction to Artificial Networks>>https://github.com/dkgithub/wiehl24]]|neural network building blocks, deep learning, artificial networks, pytorch|basic|02/2024|((( 56 56 Link 57 57 58 58 {{displayIcon name="application_view_list"/}} 59 59 60 60 61 -)))|tutorial|((( 63 +)))|tutorial, hands-on, excercises|((( 62 62 Dr. Andrea Santamaria Garcia, 63 63 64 64 Chenran Xu ... ... @@ -72,59 +72,74 @@ 72 72 PDF 73 73 74 74 {{displayIcon name="page_white_acrobat"/}} 77 + 78 + 75 75 )))|lecture|Sebastian Wozniewski 76 76 |[[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|((( 77 77 PDF 78 78 79 79 {{displayIcon name="page_white_acrobat"/}} 80 -)))|lecture| 84 +)))|lecture|Dirk Krücker 81 81 |[[Tutorials - Mastering Model Building>>https://github.com/dkgithub/wiehl24]]|mastering model building|basic|02/2024|((( 82 82 PDF 83 83 88 +((( 84 84 {{displayIcon name="page_white_acrobat"/}} 85 -)))|tutorial|Dirk Krücker 86 -| | | | | | | 87 -| | | | | | | 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]] 88 88 95 + 96 +)))|mastering model building|basic|02/2023|((( 97 +PDF 89 89 90 -{{liveData showPageSizeDropdown="false"}}{{/liveData}} 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 91 91 106 +{{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 92 92 93 -=== Basic Concepts === 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 94 94 95 ----- 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 96 96 97 -=== **Neural Network Building Blocks** === 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]] 98 98 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 -))) 130 +[[Exercises Solution>>https://indico.desy.de/event/40559/sessions/16121/attachments/88729/119131/Wiehl_Exercises_CNN_Solution.pdf]] 106 106 107 -=== === 132 + 133 +)))|convolutional neural networks|basic|02/2024|((( 134 +PDF 108 108 109 -=== **Mastering Model Building** === 136 +{{displayIcon name="page_white_acrobat"/}} 137 +)))|tutorial, hands-on, excercises|Stephanie Käs 138 +| | | | | | | 110 110 111 -* [[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"/}} 140 +{{liveData showPageSizeDropdown="false"}}{{/liveData}} 117 117 118 -=== === 119 119 120 - ===**Convolutional Neural Networks** ===143 + 121 121 122 -* [[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 - 128 128 === === 129 129 130 130 === Adcanced Concepts ===