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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 42.1
edited by Judith Steinfeld
on 2024/07/29 15:53
Change comment: There is no comment for this version

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... ... @@ -28,120 +28,46 @@
28 28  
29 29  
30 30  
31 +{{documents count="23" columns="doc.title, doc.topic, doc.date, doc.type, doc.kind, doc.author"/}}
31 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
33 +{{liveData showPageSizeDropdown="false"}}{{/liveData}}
37 37  
38 -{{displayIcon name="page_white_acrobat"/}}
39 -)))|lecture|(((
40 -Dr. Andrea Santamaria Garcia,
41 41  
42 -Chenran Xu
36 +=== Basic Concepts ===
43 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
38 +----
48 48  
49 -{{displayIcon name="page_white_acrobat"/}}
40 +=== **Neural Network Building Blocks** ===
50 50  
51 -
52 -)))|lecture, libraries|(((
53 -Dr. Andrea Santamaria Garcia,
54 -
55 -Chenran Xu
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"/}}
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|(((
58 -Link
59 59  
60 -{{displayIcon name="application_view_list"/}}
50 +=== ===
61 61  
62 -
63 -)))|tutorial, hands-on, excercises|(((
64 -Dr. Andrea Santamaria Garcia,
52 +=== **Mastering Model Building** ===
65 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
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"/}}
70 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
61 +=== ===
75 75  
76 -{{displayIcon name="page_white_acrobat"/}}
63 +=== **Convolutional Neural Networks** ===
77 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
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"/}}
82 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
69 +----
87 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 -
140 -{{liveData showPageSizeDropdown="false"}}{{/liveData}}
141 -
142 -
143 -
144 -
145 145  === ===
146 146  
147 147  === Adcanced Concepts ===