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Last modified by Judith Steinfeld on 2025/06/03 11:13
From version 42.1
edited by Judith Steinfeld
on 2024/07/29 15:53
Change comment: There is no comment for this version
To version 46.1
edited by Judith Steinfeld
on 2024/07/30 11:46
Change comment: There is no comment for this version

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28 28  
29 29  
30 30  
31 -{{documents count="23" columns="doc.title, doc.topic, doc.date, doc.type, doc.kind, doc.author"/}}
32 32  
33 -{{liveData showPageSizeDropdown="false"}}{{/liveData}}
32 +|=title|=topic (tags)|=level|=date|=type|=format|=author
33 +|(((
34 +[[Introduction to Articifial Networks - Pt.1>>https://indico.desy.de/event/40559/sessions/16119/attachments/88695/118961/nns-part1.pdf]]
35 +)))|neural network building blocks, deep learning, artificial networks|basic|02/2024|(((
36 +PDF
34 34  
38 +{{displayIcon name="page_white_acrobat"/}}
39 +)))|lecture|(((
40 +Dr. Andrea Santamaria Garcia,
35 35  
36 -=== Basic Concepts ===
42 +Chenran Xu
37 37  
38 -----
44 +ARBEITSGRUPPE
45 +)))
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 +PDF
39 39  
40 -=== **Neural Network Building Blocks** ===
49 +{{displayIcon name="page_white_acrobat"/}}
41 41  
42 -* [[Introduction to Articifial Networks - Pt. >>https://indico.desy.de/event/40559/sessions/16119/attachments/88695/118961/nns-part1.pdf]] {{displayIcon name="page_white_acrobat"/}}
43 -* [[Introduction to Articifial Networks - Pt. >>https://indico.desy.de/event/40559/sessions/16119/attachments/88695/118961/nns-part1.pdf]] {{displayIcon name="page_white_acrobat"/}}
44 -** [[Tutorial>>https://github.com/machine-learning-tutorial/neural-networks/tree/main]] {{displayIcon name="application_view_list"/}}
45 -* [[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"/}}
46 -* (((
47 -[[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"/}}
51 +
52 +)))|lecture, libraries|(((
53 +Dr. Andrea Santamaria Garcia,
54 +
55 +Chenran Xu
48 48  )))
57 +|[[Tutorials - Introduction to Artificial Networks>>https://github.com/dkgithub/wiehl24]]|neural network building blocks, deep learning, artificial networks, pytorch|basic|02/2024|(((
58 +Link
49 49  
50 -=== ===
60 +{{displayIcon name="application_view_list"/}}
51 51  
52 -=== **Mastering Model Building** ===
62 +
63 +)))|tutorial, hands-on, excercises|(((
64 +Dr. Andrea Santamaria Garcia,
53 53  
54 -* [[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"/}}
55 -** [[Tutorials>>https://github.com/dkgithub/wiehl24]] {{displayIcon name="application_view_list"/}}
56 -* [[Mastering Model Building >>https://indico.desy.de/event/37303/sessions/14382/attachments/80384/105130/230228_mastering_model_building.pdf]]
57 -** [[Hands-On 1: Tenserflow-Playground>>http://playground.tensorflow.org/#activation=tanh&regularization=L2&batchSize=10&dataset=gauss&regDataset=reg-plane&learningRate=0.03&regularizationRate=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"/}}
58 -** [[Hands-On 2: Mass-Regression>>https://colab.research.google.com/drive/1UdiLP-MLTLlB8t4zE2qMwibt3BRbFawd?usp=sharing]] {{displayIcon name="application_view_list"/}}
59 -** [[Hands-On 3: Jet-flavour Classification>>https://colab.research.google.com/drive/13O8wxap5oxp1ovUTBjNc__tOwE7PojyC?usp=sharing]] {{displayIcon name="application_view_list"/}}
66 +Chenran Xu
67 +)))
68 +|[[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]]|neural network building blocks, deep learning|basic|02/2023|(((
69 +PDF
60 60  
61 -=== ===
71 +{{displayIcon name="page_white_acrobat"/}}
72 +)))|lecture|Sebastian Wozniewski
73 +|[[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]]|neural network building blocks, deep learning|basic|02/2023|(((
74 +PDF
62 62  
63 -=== **Convolutional Neural Networks** ===
76 +{{displayIcon name="page_white_acrobat"/}}
64 64  
65 -* [[Convolutional Neural Networks>>https://indico.desy.de/event/40559/sessions/16121/attachments/88729/119021/CNN_SKaes.pdf]] {{displayIcon name="page_white_acrobat"/}}
66 -** [[Exercises>>https://indico.desy.de/event/40559/sessions/16121/attachments/88729/119040/Wiehl_Exercises_CNN.pdf]] {{displayIcon name="page_white_acrobat"/}}
67 -** [[Exercises Solution>>https://indico.desy.de/event/40559/sessions/16121/attachments/88729/119131/Wiehl_Exercises_CNN_Solution.pdf]] {{displayIcon name="page_white_acrobat"/}}
78 +
79 +)))|lecture|Sebastian Wozniewski
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 +PDF
68 68  
69 -----
83 +{{displayIcon name="page_white_acrobat"/}}
84 +)))|lecture|Dirk Krücker
85 +|[[Tutorials - Mastering Model Building>>https://github.com/dkgithub/wiehl24]]|mastering model building|basic|02/2024|(((
86 +PDF
70 70  
88 +(((
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]]
94 +
95 +
96 +)))|mastering model building|basic|02/2023|(((
97 +PDF
98 +
99 +{{displayIcon name="page_white_acrobat"/}}
100 +)))|lecture|Niclas Eich
101 +|(((
102 +[[Hands-On 1: Tenserflow-Playground>>http://playground.tensorflow.org/#activation=tanh&regularization=L2&batchSize=10&dataset=gauss&regDataset=reg-plane&learningRate=0.03&regularizationRate=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
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 +
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
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
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]]
129 +
130 +[[Exercises Solution>>https://indico.desy.de/event/40559/sessions/16121/attachments/88729/119131/Wiehl_Exercises_CNN_Solution.pdf]]
131 +
132 +
133 +)))|convolutional neural networks|basic|02/2024|(((
134 +PDF
135 +
136 +{{displayIcon name="page_white_acrobat"/}}
137 +)))|tutorial, hands-on, excercises|Stephanie Käs
138 +| | | | | | |
139 +
140 +{{liveData showPageSizeDropdown="false"}}{{/liveData}}
141 +
142 +
143 +
144 +
71 71  === ===
72 72  
73 73  === Adcanced Concepts ===