https://github.com/nating/ee4c16
Study material for the module EE4C16 Machine Learning, in Trinity College Dublin.
https://github.com/nating/ee4c16
Last synced: 4 months ago
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Study material for the module EE4C16 Machine Learning, in Trinity College Dublin.
- Host: GitHub
- URL: https://github.com/nating/ee4c16
- Owner: nating
- Created: 2017-11-12T17:00:05.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2018-01-04T08:29:55.000Z (over 8 years ago)
- Last Synced: 2025-11-12T07:20:33.963Z (7 months ago)
- Size: 743 KB
- Stars: 5
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
*The material in this repository is based on a module given by [François Pitié](https://francois.pitie.net/) at [Trinity College Dublin](https://www.tcd.ie).
Resources for this module can be found [here](https://github.com/frcs/EE4C16).*
# EE4C16
Study material I have put together for the module EE4C16 Machine Learning, in Trinity College Dublin.
Before looking at anything else. You can gain a **great** understanding of deep learning by just watching these videos:
1. [How Convolutional Neural Networks work](https://www.youtube.com/watch?v=FmpDIaiMIeA)
2. [How Deep Neural Networks work](https://www.youtube.com/watch?v=ILsA4nyG7I0&t=21s)
3. [Recurrent Neural Networks & LSTMs (Long Short Term Memory)](https://www.youtube.com/watch?v=WCUNPb-5EYI)
## Notes
Below is a list (work in progress) of the notes I have put together for each topic in the EE4C16 module:
* [Module Overview](https://github.com/nating/EE4C16/blob/master/notes/0-module-overview.md)
* [Least squares](https://github.com/nating/EE4C16/blob/master/notes/1-least-squares.md)
* [Logistic Regression](https://github.com/nating/EE4C16/blob/master/notes/2-logistic-regression.md)
* [Classic Classifiers](https://github.com/nating/EE4C16/blob/master/notes/3-classic-classifiers.md)
* [Evaluating Classifier Performance](https://github.com/nating/EE4C16/blob/master/notes/4-evaluating-classifier-performance.md)
* [Feedforward Networks](https://github.com/nating/EE4C16/blob/master/notes/5-feedforward-networks.md)
* [Convolutional Neural Networks](https://github.com/nating/EE4C16/blob/master/notes/6-convolutional-neural-networks.md)
* [Advances in Network Architectures](https://github.com/nating/EE4C16/blob/master/notes/7-advances-in-network-architectures.md)
# Labs
Here are useful resources for the EE4C16 labs:
* [Lab 06 environment set up for Mac](https://github.com/nating/EE4C16/blob/master/labs/6/macos-setup.md)