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DTSTAMP:20260618T101027Z
UID:62f61416-3c0f-4b3c-9b73-6c45eb875814
DTSTART:20260119T080000Z
DTEND:20260120T160000Z
DESCRIPTION:Educators: \nDominik March\, Lukas Beierle\, Sonja Diedrich\, J
 ulian Hahnfeld (BiGi)\n\nDate:  \nJanuary 19th &amp\; 20th\, 2026\n\nLocat
 ion: \nGießen Seltersweg 85\, Bioinformatics Lab\n\nContents:\nIn the fir
 st part of the course\, we will cover the fundamental concepts and applica
 tions of deep learning\, including model architectures\, training procedur
 es\, and data preprocessing. In the second part\, the focus will shift to 
 applying deep learning models to bioinformatics tasks\, using both custom-
 built and pre-trained models.\n\nLearning goals:\n- Getting an overview of
  the topic ‘Deep Learning’ (with bioinformatic examples)\n- How to imp
 lement and train a neural network using Keras\n- Data preprocessing and en
 coding for neural network models\n- Large Language Models (LLMs) and pre-t
 rained models and how they can be applied to various tasks.\n\nPrerequisit
 es:\n- Basic bioinformatics knowledge\n- Good knowledge of Python and the 
 Linux Terminal\n- We recommend\, that you bring your own computer\, which 
 should run Linux or MacOS\n- If you bring your own computer\, it should id
 eally have a CUDA compatible graphics card\n\nKeywords:\nDeep Learning\, K
 eras\, Large Language Models\n\nTools/ Libraries/ Languages:\nPython\, Ker
 as\, Kerashub\n\nOrganizational:\n- The number of participants is limited 
 to: 20\n - Registration via email (see above)\n- We cannot cover any trave
 l cost and/or accommodation costs\n- We provide catering during the course
 .\n- We will use Python as programming language with the library Vera's
LOCATION:Seltersweg 85\, 85 Seltersweg
SUMMARY:Introduction to Deep Learning
URL;VALUE=URI:https://www.denbi.de/training-courses-2026/1946-introduction-
 to-deep-learning
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