<p style="text-align: center"><b><font size=5 color=blueyellow>Practical Deep Learning - Schedule</font></b></p>

**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

### <font color=red>(May 5) Day 0 -- On-boarding to LUMI machine (10:00-12:00, CET)</font>

### <font color=red>(May 6) Day 1</font>

:::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 | |

### <font color=red>(May 7) Day 2</font>

:::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 | |

### <font color=red>(May 8) Day 3</font>

:::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.
[](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).

---