# 2024-02-20-NCL-NEURAL NETWORKS

### This document:
# https://hackmd.io/@rseteam-ncl/2024-02-20-NCL-NEURAL

# Carpentries Neural Networks workshop
## 20th Feb 2024

### :pushpin: Links
- This HackMD File: [https://hackmd.io/@rseteam-ncl/2024-02-20-NCL-NEURAL](https://hackmd.io/@rseteam-ncl/2024-02-20-NCL-NEURAL)
- [The workshop homepage](https://nclrse-training.github.io/2024-02-20-NCL/)
- [Carpentries Code of Conduct](https://docs.carpentries.org/topic_folders/policies/code-of-conduct.html)
- [Workshop Materials](https://carpentries-incubator.github.io/machine-learning-neural-python/)
- [Pre-workshop survey](https://forms.office.com/e/85qbAtKV1n)
- [Post-workshop survey](https://forms.office.com/e/tL6T5EVW8n)

### Before we begin
:::info
:exclamation: If you haven't done so yet, please fill in the pre-workshop survey:
[Pre-workshop survey](https://forms.office.com/e/85qbAtKV1n)
:::

### Introductions
:::info
Use this section to say hi to everyone! Leave your name and your school/department. You can also link to any personal / staff homepage if you like.
:::
- [Tiago Sousa Garcia](https://rse.ncldata.dev/team/tiago-sousa-garcia) (instructor), Research Software Engineer :wave:
- Ruxandra Neatu, [e-mail]
- Matthew Teasdale, [BSU](https://www.ncl.ac.uk/bsu/), Faculty of Medical Sciences.
- Yuehan Yan, School of Engineering, PGR
- Henry Harper-Gardner, School of Maths, Stats & Physics, PGR.
- Alaa Alkrud , School of Computing PGR.
- Yiran Dong, School of Engineering, PGR
- Alex McDermott-Roberts, NUBI, FMS (Bumblebee behaviour and cognition)
- Nehal Hassan, FMS, School of Pharmacy, Research Associate
- Alana Mullins, Faculty of Medical Sciences, Diabetes Research Group, PGR.
- Jianan Zhao, School of Computing, PGT.
- Liyuan Zhu, FMS, NIHR PGR
- Oscar Ballantyne, SNES, PGR.
- `Denis Dysen`, **helper!**
- Mohmaed alsonisi School of engineering, PGR
- SookYen Lau, School of Computing, PGR
- Nana Yaw Aboagye,TCRI, PGR
- Amrit Kumar, PGT, School of Computing
- Aybuke Tezel, Law School, PGR
- CHI KIT NG, School of Computing, PGR
### Workshop schedule
:::warning
These are rough timings -- the lesson we will be following is still being developed and this is the first time we teach it.
:::

|Time|Activity|Duration|
|----|--------|--------|
|09h30|Setup, general questions | 30 minutes |
|10h00|[Introduction](https://carpentries-incubator.github.io/machine-learning-neural-python/01-xrays/index.html)| 30 minutes |
|10h30|[Visualisation](https://carpentries-incubator.github.io/machine-learning-neural-python/02-visualisation/index.html) | 45 minutes |
|11h15|Refreshment break| 15 minutes |
|11h30|[Data preparation](https://carpentries-incubator.github.io/machine-learning-neural-python/03-data_prep/index.html) | 30 minutes |
|12h00| Questions, review, discussion | 45 minutes |
|12h45| Lunch | 45 minutes |
|13h30| [Neural Networks](https://carpentries-incubator.github.io/machine-learning-neural-python/04-create_net/index.html) | 45 minutes
|14h15| [Training and evaluation I](https://carpentries-incubator.github.io/machine-learning-neural-python/05-train_eval/index.html) | 15 minutes |
|14h30| Refreshment break | 30 minutes |
|15h00| [Training and evaluation II](https://carpentries-incubator.github.io/machine-learning-neural-python/05-train_eval/index.html) | 30 minutes
|15h30| [Explainability](https://carpentries-incubator.github.io/machine-learning-neural-python/06-explainability/index.html) | 30 minutes
|16h00| Questions, review, discussion | 45 minutes |

### 0. Setup
1. Go to [Google Colab](https://colab.research.google.com/)
2. Open a new notebook
3. Download the data:

!wget https://github.com/carpentries-incubator/machine-learning-neural-python/raw/gh-pages/data/chest_xrays.zip

:::warning
:exclamation: The link in the lesson materials is wrong! Use this link instead:
[https://github.com/carpentries-incubator/machine-learning-neural-python/raw/gh-pages/data/chest_xrays.zip](https://github.com/carpentries-incubator/machine-learning-neural-python/raw/gh-pages/data/chest_xrays.zip)
:::
4. Unzip the data

!unzip chest_xrays.zip

### 1. [Introduction](https://carpentries-incubator.github.io/machine-learning-neural-python/01-xrays/index.html)

#### :notebook: Comunity notes
- [Add your notes here]

#### :question: Q&A
- [Add your questions here]

### 2. [Visualisation](https://carpentries-incubator.github.io/machine-learning-neural-python/02-visualisation/index.html)

#### :notebook: Comunity notes
- [Add your notes here]

#### Exercise
|Name|Accuracy|
|---|----|
|Henry|70%|
|MOHAMED|60%|
|Tiago |50% |
|Yuehan Yan|50%|
|Alex MDR | 70%|
|Nana|70%|
|Matthew|60%|
|Jianan|70%|
|OB| 70%|
|Alana|70%|
|Nehal |70%|
|Alaa|80%|

#### :question: Q&A
- [Add your questions here]

### 3. [Data preparation](https://carpentries-incubator.github.io/machine-learning-neural-python/03-data_prep/index.html)

#### :notebook: Comunity notes
- [Add your notes here]

#### :question: Q&A
- [Add your questions here]

### 4. [Neural Networks](https://carpentries-incubator.github.io/machine-learning-neural-python/04-create_net/index.html)

#### :notebook: Comunity notes
- [Add your notes here]

#### :question: Q&A
- [Add your questions here]

### 5. [Training and evaluation](https://carpentries-incubator.github.io/machine-learning-neural-python/05-train_eval/index.html)

#### :notebook: Comunity notes
- [Add your notes here]

#### :question: Q&A
- [Add your questions here]

### 6. [Explainability](https://carpentries-incubator.github.io/machine-learning-neural-python/06-explainability/index.html)

#### :notebook: Comunity notes
- [Add your notes here]

#### :question: Q&A
- [Add your questions here]

### Before we go
:::info
:exclamation: Please remember to fill in the post-workshop survey:
[Post-workshop survey](https://forms.office.com/e/tL6T5EVW8n)
:::