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X-WR-CALNAME:Instituto de Astrofísica de Andalucía
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X-WR-CALDESC:Eventos para Instituto de Astrofísica de Andalucía
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DTSTART;TZID=Europe/Paris:20250121T090000
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DTSTAMP:20260410T012115
CREATED:20241219T121029Z
LAST-MODIFIED:20250912T080532Z
UID:22550-1737450000-1761843600@www.iaa.csic.es
SUMMARY:Academic Spanish Course for Foreigners (2025)
DESCRIPTION:The Academic Spanish course for foreigners is designed to facilitate effective communication in academic and profesional contexts. Through a practical and personalized focus\, the participants will develop essential linguistic abilities to discuss scientific articles\, participate in conferences\, give presentations\, and collaborate in international projects. The program includes technical vocabulary\, beginner and advanced grammar\, and simulations of real-life situations. Moreover\, it will promote the cultural immersion to strengthen the comprehension of the Hispanic world\, and their impact on interdisciplinary investigation and collaboration. \nThis course will be taught throughout in the following blocks: \nJanuary 21st – February 27thApril 22nd – May 29thSeptember 23rd – October 30thThe course is taught by Prof. Nazira Ruíz
URL:https://www.iaa.csic.es/evento/academic-spanish-course-for-foreigners-2025/
LOCATION:IAA – CSIC\, Glorieta de la Astronomía\, Granada\, España
CATEGORIES:SO Training
ATTACH;FMTTYPE=image/jpeg:https://www.iaa.csic.es/wp-content/uploads/2024/12/academicspanish.jpg
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DTSTART;TZID=Europe/Paris:20251016T090000
DTEND;TZID=Europe/Paris:20251017T170000
DTSTAMP:20260410T012115
CREATED:20250330T085559Z
LAST-MODIFIED:20250912T080500Z
UID:25280-1760605200-1760720400@www.iaa.csic.es
SUMMARY:SO Basics of Neural Networks 2025
DESCRIPTION:Deep learning (DL) is a family of techniques widely used in multiple fields with excellent results. Unfortunately\, DL has a steep  learning curve. Fortunately\, several domain-specific libraries have been developed to facilitate the use of DL models. \nFor the widespread adoption of these techniques\, researchers should be able to design and use their own DL models. Image classification is one of the main applications of DL  in astrophysics and offers a convenient way to learn about neural networks. The de facto standard to tackle this problem is Convolutional Neural Networks (CNN)\, a concrete deep learning architecture.  This course will serve as an introduction to Deep Learning with four  sessions with the following objectives: understanding the basics of neural networks\, getting to know the fundamental libraries and fundamental architectures\, learning how to train a CNN\, gaining confidence in using CNNs for image classification tasks\, and learning how to evaluate their preformance. \n\nSession 1: Deep Learning fundamentals\nSession 2: Convolutional Neural Networks fundamentals\nSession 3: Practical considerations in real-world CNNs\nSession 4: Evaluation\n\nThe tutor of this school is Dr Francisco Eduardo Sanchez Karhunen (Universidad de Sevilla). \nThere will be coffee breaks available to participants. \nContents\n\nSession 1: Deep Learning fundamentals\nSession 2: Convolutional Neural Networks fundamentals\nSession 3: Practical considerations in real-world CNNs\nSession 4: Evaluation \n\nFor more details\, see the agenda below. \nThe repository with contents and materials can be found in Github (TBC) \nOrganizing Committee \n\nRainer Schödel (Chair)\, IAA-CSIC\, Spain \nLaura Darriba\, IAA-CSIC\, Spain  \nJavier Moldón\, IAA-CSIC\, Spain 
URL:https://www.iaa.csic.es/evento/so-basics-of-neural-networks-2025/
LOCATION:IAA – CSIC\, Glorieta de la Astronomía\, Granada\, España
CATEGORIES:SO Training
ATTACH;FMTTYPE=image/jpeg:https://www.iaa.csic.es/wp-content/uploads/2025/03/artificial-intelligence.jpg
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