====== Biological Applications of Advanced Deep Learning Strategies ======
\\
| [[https://ekvv.uni-bielefeld.de/kvv_publ/publ/vd?id=361987972|392120]]/[[https://ekvv.uni-bielefeld.de/kvv_publ/publ/vd?id=361988752|392121]]  | Schönhuth / Schlüter  | Winter 2022/21 | Wed 12:15-13:45 (V) U10-146 and Zoom |

==== Literature ====

  * Michael Nielsen, //Neural Networks and Deep Learning//, http://neuralnetworksanddeeplearning.com
  * Ian Goodfellow, Yoshua Bengio, Aaron Courville, //Deep Learning//, https://www.deeplearningbook.org
  * Aston Zhang, Zack C. Lipton, Mu Li, Alex J. Smola, //Dive into Deep Learning//, https://d2l.ai

==== Important Links ====
[[https://lernraumplus.uni-bielefeld.de/course/view.php?id=15150|Lernraum-Plus]]\\
[[https://uni-bielefeld.cloud.panopto.eu/Panopto/Pages/Sessions/List.aspx?folderID=c41600b2-7c2f-4db7-a817-af2c007745b7|Lecture Recordings]]
==== Time table lecture ====

| **Date** | **Topic** |
|12.10.2022| [[teaching:2022winter:bioadl:lecture01|Introduction]] ({{teaching:2022winter:bioadl:lecture1-introduction-121022.pdf|slides}})|
|19.10.2022| [[teaching:2022winter:bioadl:lecture02|Deep Learning]] ({{teaching:2022winter:bioadl:lecture2-deeplearningmotivation-191022.pdf|slides}}) |
|26.10.2022| [[teaching:2022winter:bioadl:lecture03|Training]] ({{teaching:2022winter:bioadl:lecture3-backpropagation-261022.pdf|slides}})|
|02.11.2022| [[teaching:2022winter:bioadl:lecture04|Convolutional Neural Networks I]] ({{teaching:2022winter:bioadl:lecture4-convolutionalneuralnets-021122.pdf|slides}}) |
|09.11.2022| [[teaching:2022winter:bioadl:lecture05|Convolutional Neural Networks II]] ({{teaching:2022winter:bioadl:lecture5-cnnscontinued-091122.pdf |slides}}) |
|16.11.2022| [[teaching:2022winter:bioadl:lecture06|Deep NN Architectures I]] ({{teaching:2022winter:bioadl:lecture6-rnn-deeper-161122.pdf |slides}}) |
|23.11.2022| [[teaching:2022winter:bioadl:lecture07|Deep NN Architectures II]] ({{teaching:2022winter:bioadl:lecture7-deeper-231122.pdf |slides}}) |
|30.11.2022| [[teaching:2022winter:bioadl:lecture08|Biological Applications I]]  ({{teaching:2022winter:bioadl:lecture8-sequences2images-301122.pdf|slides}}) |
|07.12.2022| [[teaching:2022winter:bioadl:lecture09|Biological Applications II]] ({{teaching:2022winter:bioadl:lecture9-svision-alsnet-071222.pdf|slides}}) |
|14.12.2022| [[teaching:2022winter:bioadl:lecture10|Biological Applications III / Capsule Networks I]] ({{teaching:2022winter:bioadl:lecture10-capsulenetworks-141222.pdf|slides}}) |
|21.12.2022| //no lecture// |
|28.12.2022 | Christmas Break|
|04.01.2023| Christmas Break |
|11.01.2023| [[teaching:2022winter:bioadl:lecture11|Capsule Networks II / Attention I]] ({{teaching:2022winter:bioadl:lecture11-diseasecapsule-attention-110123.pdf|slides}})|
|18.01.2023| [[teaching:2022winter:bioadl:lecture12|Attention II/Encoder Decoder]] ({{teaching:2022winter:bioadl:lecture12-encoderdecoder-180123.pdf|slides}})|
|25.01.2023| [[teaching:2022winter:bioadl:lecture13|Transformers]] ({{teaching:2022winter:bioadl:lecture13-transformers-250123.pdf|slides}})|
|01.02.2023| Exam |

==== Time table tutorials====

| **Date** | **Topic** ||
|19.10.2022| Upload Exercise 01||
|02.11.2022| Upload Exercise 02 | Discussion Exercise Sheet 01|
|16.11.2022| Upload Exercise 03 | Discussion Exercise Sheet 02|
|30.11.2022| Upload Exercise 04 | Discussion Exercise Sheet 03|
|14.12.2022| Upload Exercise 05 | Discussion Exercise Sheet 04|
|28.12.2022 | Christmas Break||
|04.01.2023| Upload Exercise 06 | Discussion Exercise Sheet 05|
|25.01.2023| Exam preparation | Discussion Exercise Sheet 06|
|01.02.2023| Exam ||