The repository has the course slides and sample codes for Introduction to Machine Learning, taught in Fall 2016 at the Federal University of Espirito Santo by Davi Frossard.
- Course Introduction
- K Nearest Neighbors [Sample Code]
- Linear Regression [Sample Code]
- TensorFlow [Sample Code]
- Logistic Regression and Neural Networks [Sample Code]
- Training Neural Networks
- Convolutional Neural Networks
- How Convolutional Neural Networks See [Sample Code]
Some slides contain animated content, in order to visualize them you must use Adobe Reader
Please visit the Piazza board at http://piazza.com/ufes.br/fall2016/csc321/home
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