<p style="text-align: center"><b><font size=5 color=blueyellow>Practical Deep Learning - Day 3</font></b></p>

:::success
**Practical Deep Learning — Schedule**: https://hackmd.io/@yonglei/practical-deep-learning-schedule-2025
:::

## Schedule

| 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 |

---

:::danger
You can ask questions about the workshop content at the bottom of this page. We use the Zoom chat only for reporting Zoom problems and such.
:::

## Questions, answers and information

- Is this how to ask a question?
- Yes, and an answer will appear like so!

### ==Three tools (Geneformer, Boltz-1, GROMACS) to get your feet wet with computational drug development==

- Geneformer
- https://huggingface.co/ctheodoris/Geneformer/blob/main/geneformer/mtl/train.py

### ==Applications of Deep Learning algorithms for retinal diseases diagnosis based on Optical Coherence Tomography imaging==

- Link to Elena's Jupyter Notebook:
- [Google Colab](https://colab.research.google.com/drive/1jhHwBp2voDWBLvNaB7OsLCTSdznUGalQ?usp=drive_link)
- [ENCCS Github repository](https://github.com/ENCCS/deep-learning-intro/tree/sphinx/notebooks/lumi)
- Dataset: https://www.kaggle.com/datasets/paultimothymooney/kermany2018
- paper reference: http://www.cell.com/cell/fulltext/S0092-8674(18)30154-5

:::danger
*Always ask questions at the very bottom of this document, right **above** this.*
:::

---