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Merge pull request #64 from Cambridge-ICCS/slide-fixes
Initial slide fixes for ICCS summer school 24
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,6 +1,7 @@ | ||
| --- | ||
| title: "Introduction to Machine Learning with PyTorch" | ||
| subtitle: "NCAS & ICCS Summer Schools 2023" | ||
| title: "Introduction to Neural Networks with PyTorch" | ||
| subtitle: "ICCS Summer School 2024" | ||
| bibliography: references.bib | ||
| format: | ||
| revealjs: | ||
| embed-resources: true | ||
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@@ -12,16 +13,67 @@ format: | |
| theme: [dark, custom.scss] | ||
| render-on-save: true | ||
| authors: | ||
| - name: Jack Atkinson | ||
| orcid: 0000-0001-5001-4812 | ||
| # - name: Jack Atkinson | ||
| # orcid: 0000-0001-5001-4812 | ||
| # affiliations: ICCS/Cambridge | ||
| # - name: Jim Denholm | ||
| # affiliations: Cambridge | ||
| # orcid: 0000-0002-2389-3134 | ||
| - name: Matt Archer | ||
| affiliations: ICCS/Cambridge | ||
| - name: Jim Denholm | ||
| affiliations: Cambridge | ||
| orcid: 0000-0002-2389-3134 | ||
| orcid: 0009-0002-7043-6769 | ||
| - name: Surbhi Goel | ||
| affiliations: ICCS/Cambridge | ||
| orcid: 0009-0005-0237-756X | ||
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| revealjs-plugins: | ||
| - attribution | ||
| --- | ||
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| ## Rough Schedule {.smaller} | ||
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| :::: {.columns} | ||
| ::: {.column width=50%} | ||
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| * 9:00-9:30 - NN lecture | ||
| * 9:30-10:30 - Teaching/Code-along | ||
| * 10:30-11:00 - Coffee | ||
| * 11:00-12:00 - Teaching/Code-along | ||
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| Lunch | ||
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| * 12:00 - 13:30 | ||
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| ::: {style="color: turquoise;"} | ||
| Helping Today: | ||
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| * Person 1 - Cambridge RSE | ||
| ::: | ||
| ::: | ||
| :::: | ||
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| ## Material {.smaller} | ||
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| These slides can be viewed at: | ||
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| - [https://cambridge-iccs.github.io/practical-ml-with-pytorch](https://cambridge-iccs.github.io/practical-ml-with-pytorch) | ||
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| The html and source can be found [on GitHub](https://github.com/Cambridge-ICCS/practical-ml-with-pytorch). Follow this link: | ||
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| - [https://tinyurl.com/ml-iccs-24](https://tinyurl.com/ml-iccs-24) | ||
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| \ | ||
| \ | ||
| Based on the workshop developed by [Jack Atkinson](https://orcid.org/0000-0001-5001-4812) and [Jim Denholm](https://orcid.org/0000-0002-2389-3134): | ||
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| - [github.com/Cambridge-ICCS/practical-ml-with-pytorch](https://github.com/Cambridge-ICCS/practical-ml-with-pytorch) | ||
| - [LICENSE](https://github.com/Cambridge-ICCS/practical-ml-with-pytorch/blob/main/LICENSE) | ||
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| V1.0 released and JOSE paper accepted: | ||
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| - [@atkinson2024practical] | ||
| <!-- | ||
| ## NCAS School (rough) Schedule {.smaller} | ||
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@@ -181,12 +233,12 @@ $$ | |
| :::: {#placeholder} | ||
| :::: | ||
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| $$m_{n + 1} = -m_{n}\frac{dL}{dm} \cdot l_{r}$$ | ||
| $$m_{n + 1} = m_{n} - \frac{dL}{dm} \cdot l_{r}$$ | ||
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| :::: {#placeholder} | ||
| :::: | ||
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| $$c_{n + 1} = -c_{n}\frac{dL}{dc} \cdot l_{r}$$ | ||
| $$c_{n + 1} = c_{n} - \frac{dL}{dc} \cdot l_{r}$$ | ||
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| :::: {#placeholder} | ||
| :::: | ||
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@@ -219,7 +271,7 @@ To fit a model we need: | |
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| ## Fully-connected neural networks {.smaller} | ||
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| - The simplest neural networks commonly used are generally called fully-connected nerual nets, dense networks, multi-layer perceptrons, or artifical neural networks (ANNs). | ||
| - The simplest neural networks commonly used are generally called fully-connected neural nets, dense networks, multi-layer perceptrons, or artifical neural networks (ANNs). | ||
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| :::: {.columns} | ||
| ::: {.column width=40%} | ||
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@@ -255,7 +307,7 @@ Image source: [3Blue1Brown](https://www.3blue1brown.com/topics/neural-networks) | |
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| # Python and PyTorch {.smaller} | ||
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| - In this workshop-lecture-thing, we will implement some straightforward neural networks in PyTorch, and use them for different classification and regression problems. | ||
| - In this workshop, we will implement some straightforward neural networks in PyTorch, and use them for different classification and regression problems. | ||
| - PyTorch is a deep learning framework that can be used in both Python and C++. | ||
| - I have never met anyone actually training models in C++; I find it a bit weird. | ||
| - See the PyTorch website: [https://pytorch.org/](https://pytorch.org/) | ||
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@@ -405,22 +457,46 @@ $$ | |
| - In short, the model must learn to estimate $x_{\text{c}}$, $y_{\text{c}}$, $r_{x}$ and $r_{y}$. | ||
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| # Further information | ||
| <!-- # Further information --> | ||
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| ## Slides | ||
| <!-- ## Slides | ||
| These slides can be viewed at: | ||
| [https://cambridge-iccs.github.io/practical-ml-with-pytorch](https://cambridge-iccs.github.io/practical-ml-with-pytorch) | ||
| The html and source can be found [on GitHub](https://github.com/Cambridge-ICCS/practical-ml-with-pytorch). | ||
| The html and source can be found [on GitHub](https://github.com/Cambridge-ICCS/practical-ml-with-pytorch). --> | ||
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| ## Contact {.smaller} | ||
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| For more information we can be reached at: | ||
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| :::: {.columns} | ||
| ::: {.column width="50%"} | ||
| :::: {.columns style="font-size: 60%"} | ||
| ::: {.column width="25%"} | ||
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| {{< fa pencil >}} \ Matt Archer | ||
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| {{< fa solid person-digging >}} \ [ICCS/UoCambridge](https://iccs.cam.ac.uk/about-us/our-team) | ||
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| {{< fa solid envelope >}} \ [ma595[AT]cam.ac.uk](mailto:[email protected]) | ||
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| {{< fa brands github >}} \ [ma595](https://github.com/ma595) | ||
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| ::: | ||
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| ::: {.column width="25%"} | ||
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| {{< fa pencil >}} \ Surbhi Goel | ||
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| {{< fa solid person-digging >}} \ [ICCS/UoCambridge](https://iccs.cam.ac.uk/about-us/our-team) | ||
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| {{< fa solid envelope >}} \ [sg2147[AT]cam.ac.uk](mailto:[email protected]) | ||
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| {{< fa brands github >}} \ [surbhigoel77](https://github.com/surbhigoel77) | ||
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| ::: | ||
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| ::: {.column width="25%"} | ||
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| {{< fa pencil >}} \ Jack Atkinson | ||
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@@ -436,7 +512,7 @@ For more information we can be reached at: | |
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| ::: | ||
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| ::: {.column width="50%"} | ||
| ::: {.column width="25%"} | ||
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| {{< fa pencil >}} \ Jim Denholm | ||
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