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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
Change comment: There is no comment for this version
To version 48.1
edited by Judith Steinfeld
on 2024/08/01 09:57
Change comment: There is no comment for this version

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10 10  
11 11  Hint Copyright: Please not that the materials are from
12 12  
13 -{{success width="20%"}}
14 -{{displayIcon name="magnifier"/}}Filter Suchfunktion: Semantische Suche und vordefinierte Suchfilter zur Eingrenzung von Suchergebnissen
13 +{{success}}
14 +Our collection of materials covers many different topics. You can click on one or more tags to filter the list...
15 15  {{/success}}
16 16  
17 -
18 -Tabelle
19 -
20 -Title - topic (tags) - date - type (PDF, video, link to website) - kind (ttt, school, workshop...) - (author)
21 -
22 -
23 -
24 -{{documents count="25"/}}
25 -
26 -
27 -Table: [[https:~~/~~/extensions.xwiki.org/xwiki/bin/view/Extension/Livetable%20Macro  >>https://extensions.xwiki.org/xwiki/bin/view/Extension/Livetable%20Macro]][[https:~~/~~/extensions.xwiki.org/xwiki/bin/view/Extension/Livetable%20Exporter%20Macro/>>https://extensions.xwiki.org/xwiki/bin/view/Extension/Livetable%20Exporter%20Macro/]]
28 -
29 -
30 -
31 -
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
37 -
38 -{{displayIcon name="page_white_acrobat"/}}
39 -)))|lecture|(((
40 -Dr. Andrea Santamaria Garcia,
41 -
42 -Chenran Xu
43 -
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
48 -
49 -{{displayIcon name="page_white_acrobat"/}}
50 -
51 -
52 -)))|lecture, libraries|(((
53 -Dr. Andrea Santamaria Garcia,
54 -
55 -Chenran Xu
56 -)))
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
59 -
60 -{{displayIcon name="application_view_list"/}}
61 -
62 -
63 -)))|tutorial, hands-on, excercises|(((
64 -Dr. Andrea Santamaria Garcia,
65 -
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
70 -
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
75 -
76 -{{displayIcon name="page_white_acrobat"/}}
77 -
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
82 -
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
87 -
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 -
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141 -
142 -
143 -
144 -
145 -=== ===
146 -
147 -=== Adcanced Concepts ===
148 -
149 -----
150 -
151 -=== **Autoencoder** ===
152 -
153 -* test
154 -
155 -=== **Transformers **(ausklappbar) ===
156 -
157 -* test
158 -
159 -=== **Normalizing Flows (ausklappbar)** ===
160 -
161 -* test
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