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6	6	With our material collection we want to provide an overview of existing materials and contacts by outlining where to find what.
7	7
8	8	The collection of existing materials is complemented by our own materials which include for example videos and slides from various workshops and schools organized by the ErUM-Data-Hub in collaboration with DIG-UM with which we reached over 800 participants so far.
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10	10
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
	11	+If you want to be subscribed or unsubscribed from this list please contact [[judith.steinfeld@erumdatahub.de>>mailto:judith.steinfeld@erumdatahub.de]]
	12	+{{/info}}
	13	+
	14	+{{success}}
	15	+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)
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22		-
23		-
24		-{{documents count="25"/}}
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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/]]
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31		-
32		-|=title|=topic (tags)|=level|=date|=type|=kind|=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|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		-|[[Introduction to Articifial Networks - Pt. 2 >>https://indico.desy.de/event/40559/sessions/16119/attachments/88695/118961/nns-part1.pdf]]|neural network building blocks|basic|02/2024|(((
45		-PDF
46		-
47		-{{displayIcon name="page_white_acrobat"/}}
48		-)))|lecture|(((
49		-Dr. Andrea Santamaria Garcia,
50		-
51		-Chenran Xu
52		-)))
53		-|[[Tutorials - Introduction to Artificial Networks>>https://github.com/dkgithub/wiehl24]]|neural network building blocks|basic| |(((
54		-Link
55		-
56		-{{displayIcon name="application_view_list"/}}
57		-
58		-
59		-)))|tutorial|
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67		-
68		-
69		-{{liveData showPageSizeDropdown="false"}}{{/liveData}}
70		-
71		-
72		-=== Basic Concepts ===
73		-
74		-----
75		-
76		-=== **Neural Network Building Blocks** ===
77		-
78		-* [[Introduction to Articifial Networks - Pt. >>https://indico.desy.de/event/40559/sessions/16119/attachments/88695/118961/nns-part1.pdf]] {{displayIcon name="page_white_acrobat"/}}
79		-* [[Introduction to Articifial Networks - Pt. >>https://indico.desy.de/event/40559/sessions/16119/attachments/88695/118961/nns-part1.pdf]] {{displayIcon name="page_white_acrobat"/}}
80		-** [[Tutorial>>https://github.com/machine-learning-tutorial/neural-networks/tree/main]] {{displayIcon name="application_view_list"/}}
81		-* [[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"/}}
82		-* (((
83		-[[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"/}}
84		-)))
85		-
86		-=== ===
87		-
88		-=== **Mastering Model Building** ===
89		-
90		-* [[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"/}}
91		-** [[Tutorials>>https://github.com/dkgithub/wiehl24]] {{displayIcon name="application_view_list"/}}
92		-* [[Mastering Model Building >>https://indico.desy.de/event/37303/sessions/14382/attachments/80384/105130/230228_mastering_model_building.pdf]]
93		-** [[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"/}}
94		-** [[Hands-On 2: Mass-Regression>>https://colab.research.google.com/drive/1UdiLP-MLTLlB8t4zE2qMwibt3BRbFawd?usp=sharing]] {{displayIcon name="application_view_list"/}}
95		-** [[Hands-On 3: Jet-flavour Classification>>https://colab.research.google.com/drive/13O8wxap5oxp1ovUTBjNc__tOwE7PojyC?usp=sharing]] {{displayIcon name="application_view_list"/}}
96		-
97		-=== ===
98		-
99		-=== **Convolutional Neural Networks** ===
100		-
101		-* [[Convolutional Neural Networks>>https://indico.desy.de/event/40559/sessions/16121/attachments/88729/119021/CNN_SKaes.pdf]] {{displayIcon name="page_white_acrobat"/}}
102		-** [[Exercises>>https://indico.desy.de/event/40559/sessions/16121/attachments/88729/119040/Wiehl_Exercises_CNN.pdf]] {{displayIcon name="page_white_acrobat"/}}
103		-** [[Exercises Solution>>https://indico.desy.de/event/40559/sessions/16121/attachments/88729/119131/Wiehl_Exercises_CNN_Solution.pdf]] {{displayIcon name="page_white_acrobat"/}}
104		-
105		-----
106		-
107		-=== ===
108		-
109		-=== Adcanced Concepts ===
110		-
111		-----
112		-
113		-=== **Autoencoder** ===
114		-
115		-* test
116		-
117		-=== **Transformers **(ausklappbar) ===
118		-
119		-* test
120		-
121		-=== **Normalizing Flows (ausklappbar)** ===
122		-
123		-* test
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