Practical Deep Learning - Schedule

![](https://media.enccs.se/2025/02/practical-deep-learning-34.webp) Practical Deep Learning - Schedule **Contributions**: <a><img src="https://img.shields.io/badge/ENCCS-blue?style=plastic"/></a> <a><img src="https://img.shields.io/badge/NCC Romaania-purple?style=plastic"/></a> <a><img src="https://img.shields.io/badge/NTNU-green?style=plastic"/></a> :::success **May 6 - 8, 09:00 - 12:00 (CET), 2025** ::: ## General information :::info **Links for the workshop**: - This **HackMD page**: https://hackmd.io/@yonglei/practical-deep-learning-schedule-2025 - **Lesson material**: https://enccs.github.io/deep-learning-intro/ - **Workshop page**: https://enccs.se/events/practical-deep-learning/ - Workshop feedback form: - ==**Workshop will be recorded but participant interactions edited out before publishing**== > **Links for ENCCS** - **ENCCS:** https://enccs.se/ - **Events**: https://enccs.se/events/ - **Newsletter**: https://enccs.se/newsletter - Follow us on [**LinkedIn**](https://www.linkedin.com/company/enccs), [**Twitter**](https://twitter.com/EuroCC_Sweden), and [**YouTube**](https://www.youtube.com/@enccs) - Be part of our mailing list and periodically receive our newsletter with training events and latest news, please ==[**Join our newsletter here**](https://enccs.se/newsletter)== > **Links for NCC Romania** - **RoNCC:** https://roncc.ro/ - **Events:** https://roncc.ro/eurocc-events/ - **Newsletter:** https://roncc.ro/news-and-publications/ - Follow us on [**LinkedIn**](https://www.linkedin.com/in/eurocc-romania) > **Links for NTNU** - **NTNU:** https://www.ntnu.edu/about - **Vijeta Sharma**: https://www.ntnu.edu/employees/vijeta.sharma ::: --- ## Organizers and Instructors :::info - Andreea Dinu (AD), ICI Bucharest/NCC Romania - Ashwin Mohanan (AM), RISE/ENCCS - Yonglei Wang (YW), LiU/ENCCS - Sebastian Muraru (SM), ICI Bucharest/NCC Romania - Elena-Anca Paraschiv (EP), ICI Bucharest/NCC Romania - Vijeta Sharma (VS), NTNU ::: ## Ice breaking question :::danger **What's your first name, and on what project you are working with Deep Learning and which package(s) are you using for Deep Learning?** - M from Germany - just getting started with ML and deeplearning. Working on theoretical quantum many body physics. - SH from Stockholm. I work in Agrigenomics and am using Deep Learning for image analysis. - S from Sweden. Working in Pharmacogenomics. No experience in DL but interested for future projects. - V from Germany. I want to get a better understanding of ML and deepLearning. Working on theoretical quantum many body physics - V from Lund, Sweden. Working on phage genomics and protein structures. Vastly experienced in ML but hoping to learn more about Deep learning as this is an approach I would use for my project in the next months. - A, Sweden. Computer Vision + ML package for digitizing tables containing handwritten-text. - M, Recognition of plant diseases with Pytorch. - T, Prediction of biophysical properties from protein dynamics - V from Poland, working on a university project and thought deep learning on supercomputers might help stand out. Just starting out with HPC in general. - I from Sweden, currently don't use deep learning but think it's good to be in the know. Work in quantum computing. - R, Sweden. Learn about machine and deep learning for materials research. - D, ML interatomic potentials - A, from Saudi Arabia, working on Density Functional Theory for my master research - S, Sweden. Working with Pattern Detection and Analysis of Emmision data from IC engines - K, Sweden. Working with model based calibration for IC engines - G, Germany. I would like to know how to classify patterns for materials. ::: --- ## Schedule ### (May 5) Day 0 -- On-boarding to LUMI machine (10:00-12:00, CET) ### (May 6) Day 1 :::warning **https://hackmd.io/@ENCCS-Training/practical-deep-learning-day1** ::: | Time | Contents | Instructor(s) | | :---------: | :------: | :-----------: | | 09:00-09:10 | Welcome | YW | | 09:10-09:50 | Introduction to Deep Learning | YW | | 09:50-10:00 | Coffee Break | | | 10:00-10:50 | Classification by a neural network using Keras (I) | AM | | 10:50-11:00 | Coffee Break | | | 11:00-11:50 | Classification by a neural network using Keras (II) | AM | | 11:50-12:00 | Wrap-up | | ### (May 7) Day 2 :::warning **https://hackmd.io/@ENCCS-Training/practical-deep-learning-day2** ::: | Time | Contents | Instructor(s) | | :---------: | :------: | :-----------: | | 09:00-09:10 | Welcome and recap | YW | | 09:10-10:00 | Monitor the training process | YW | | 10:00-10:10 | Coffee Break | | | 10:10-11:00 | Advanced Layer Types | AM | | 11:10-11:10 | Coffee Break | | | 11:10-11:50 | Transfer learning & Outlook | AM | | 11:50-12:00 | Wrap-up | | ### (May 8) Day 3 :::warning **https://hackmd.io/@ENCCS-Training/practical-deep-learning-day3** ::: | Time | Contents | Instructor(s) | | :---------: | :------: | :-----------: | | 09:00-09:10 | Welcome and recap | YW | | 09:10-10:20 | Three tools (Geneformer, Boltz-1, GROMACS) to get your feet wet with computational drug development | SM | | 10:20-10:40 | Coffee Break | | | 10:40-11:50 | Applications of Deep Learning algorithms for retinal diseases diagnosis based on Optical Coherence Tomography imaging | EP | | 11:50-12:00 | Wrap-up | YW | --- ## Code of Conduct We strive to follow the [Contributor Covenant Code of Conduct](https://www.contributor-covenant.org/version/2/1/code_of_conduct/) to foster an inclusive and welcoming environment for everyone. [![Contributor Covenant](https://img.shields.io/badge/Contributor%20Covenant-2.0-4baaaa.svg)](https://github.com/ENCCS/event-organisation/blob/main/CODE_OF_CONDUCT.md) **In short**: - Use welcoming and inclusive language - Be respectful of different viewpoints and experiences - Gracefully accept constructive criticism - Focus on what is best for the community - Show courtesy and respect towards other community members Contact details to report CoC violations can be [found here](https://enccs.se/yonglei-wang). ---