The material in this repository is based on a module given by François Pitié at Trinity College Dublin.
Resources for this module can be found here.

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
2. How Deep Neural Networks work
3. Recurrent Neural Networks & LSTMs (Long Short Term Memory)

Notes

Below is a list (work in progress) of the notes I have put together for each topic in the EE4C16 module:

• Module Overview
• Least squares
• Logistic Regression
• Classic Classifiers
• Evaluating Classifier Performance
• Feedforward Networks
• Convolutional Neural Networks
• Advances in Network Architectures

Labs

Here are useful resources for the EE4C16 labs:

• Lab 06 environment set up for Mac