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Deep Learning School "Basic Concepts" 2026 (DLS)
Artificial IntelligenceDeep learningschoolPrincipleArtificial intelligence,

Deep Learning School "Basic Concepts" 2026 (DLS)

16 - 17 apr. 202609:00 AM-06:00 PM (expected)Ingelheim am Rhein, GermanyDelegates Deelnemers

Beschrijving

The Deep Learning School "Basic Concepts" is set to take place from April 13 to April 17, 2026, at the picturesque Kloster Engelthal in Ingelheim am Rhein, Germany. This immersive event offers participants a unique opportunity to delve into the foundational principles of deep learning, a vital aspect of artificial intelligence that drives innovation across numerous sectors. Attendees will benefit from expert-led sessions, hands-on workshops, and collaborative discussions designed to enhance their understanding of key concepts and techniques in deep learning.

Hoogtepunten

Organized by ErUM-Data-Hub with support from DIG-UM. Aimed at deep-learning beginners from all ErUM communities with basic physics knowledge. Intensive classes on Neural Network Building Blocks, Mastering Model Building, Convolutional Neural Networks, and Transformers. Includes a hackathon/challenge led by Luca Di Bella & Felix Wersig from TU Dortmund. Features a session on Julia programming by Dr. Oliver Schulz from MPP MPG. Welcome dinner on Monday and a pub quiz on Thursday, both included in the participation fee. Visit to Boehringer Ingelheim scheduled for April 16, 2026. Registration is currently open with limited spots available. Contact: [email protected], +49 241 8027490. Part of a series of Deep Learning Schools, with an Advanced Concepts session planned for September 2026 in Kiel.

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# Artificial Intelligence# Deep learning# school# Principle# Artificial intelligence,

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Patricia Schuckman

Patricia Schuckman

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Ingelheim am Rhein, Germany

Lucia Cilio

Lucia Cilio

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Lotte

Lotte

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Ingelheim am Rhein, Germany

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Fernando Redín

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Dr. Fernando Redín

Sid Verma

Sid Verma

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Shawn Hooker

Shawn Hooker

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Head of Pet Vet Global Marketi

Monika Nendza

Monika Nendza

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Ingelheim

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