https://github.com/rrwen/slides-rmcs-litreview
Presentation titled "A Brief Review of Hyperparameter Optimization Methods for Machine Learning" for Research Methods in Computer Science course at Ryerson University
https://github.com/rrwen/slides-rmcs-litreview
automated automatic hyperparameter learning literature machine optimisation optimization parameter review survey
Last synced: 25 days ago
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Presentation titled "A Brief Review of Hyperparameter Optimization Methods for Machine Learning" for Research Methods in Computer Science course at Ryerson University
- Host: GitHub
- URL: https://github.com/rrwen/slides-rmcs-litreview
- Owner: rrwen
- License: mit
- Created: 2017-11-27T01:44:30.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2017-12-02T21:44:59.000Z (over 7 years ago)
- Last Synced: 2025-02-08T21:11:19.407Z (3 months ago)
- Topics: automated, automatic, hyperparameter, learning, literature, machine, optimisation, optimization, parameter, review, survey
- Language: HTML
- Homepage: https://rrwen.github.io/slides-rmcs-litreview
- Size: 42.7 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# A Brief Review of Hyperparameter Optimization Methods for Machine Learning
Richard Wen
[email protected]
* [Slides](https://rrwen.github.io/slides-rmcs-litreview)
* [PDF](https://github.com/rrwen/slides-rmcs-litreview/blob/master/slides/wen2017_hyperoptml_slides.pdf)
* [Paper](https://github.com/rrwen/assign-rmcs-litreview)
Presentation slides for Research Methods in Computer Science Course Instructed by Dr. Cherie Ding.
[](https://travis-ci.org/rrwen/slides-rmcs-litreview)
[](https://github.com/rrwen/slides-rmcs-litreview/blob/master/LICENSE)
[](https://twitter.com/intent/tweet?text=Presentation%20slides%20for%20Research%20Methods%20in%20Computer%20Science%20Course%20Instructed%20by%20Dr.%20Cherie%20Ding.:%20https%3A%2F%2Fgithub.com%2Frrwen%2Fslides-rmcs-litreview%20%23revealjs%20%23slides)
## Install
1. Install [npm](https://www.npmjs.com/)
2. [Clone](https://git-scm.com/docs/git-clone) this repository
3. Install dependencies with `npm`
```
git clone https://github.com/rrwen/slides-rmcs-litreview
cd slides-rmcs-litreview
npm install
```
## Usage
1. Generate `docs/index.html` (see `script.html` in [package.json](https://github.com/rrwen/slides-rmcs-litreview/blob/master/package.json))
2. Generate `slides/wen2017_hyperoptml_slides.pdf` (see `script.pdf` in [package.json](https://github.com/rrwen/slides-rmcs-litreview/blob/master/package.json))
```
npm run html
npm run pdf
```
See [Edits](#edits) and [Implementation](#implementation) for more details.
## Developer Notes
### Edits
The following can be edited before generating:
* `slides/wen2017_hyperoptml_slides.md`: [Markdown](https://daringfireball.net/projects/markdown/) file with slide contents
* `slides/template.html`: [Custom reveal-md template](https://github.com/webpro/reveal-md#custom-template)
* `docs/edit/style.css`: [CSS](https://developer.mozilla.org/en-US/docs/Web/CSS) file to adjust styling of slides
* `docs/edit/logo.png`: logo image to use
### Implementation
The slides [slides-rmcs-litreview](https://github.com/rrwen/slides-rmcs-litreview) uses the following [npm](https://www.npmjs.com/) packages for its implementation:
npm | Purpose
--- | ---
[reveal-md](https://www.npmjs.com/package/reveal-md) | Converting `slides/wen2017_hyperoptml_slides.md` to `docs/index.html`
[decktape](https://www.npmjs.com/package/decktape) | Converting `slides/wen2017_hyperoptml_slides.md` to `slides/wen2017_hyperoptml_slides.pdf`
[windows-build-tools](https://www.npmjs.com/package/windows-build-tools) | Compiling dependencies for decktape on Windows Operating System (OS)
```
reveal-md <-- Convert markdown slides to html
decktape <-- Convert markdown slides to pdf
|
windows-build-tools <-- Compile decktape on Windows OS
```