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Introduction to Machine Learning - UFES - 2016/2 - Course Slides
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00_Intro
01_KNN
02_LinReg
03_TensorFlow
04_LogRegAndNN
05_TrainingNeuralNets
06_ConvNets
07_HowConvNetsSee
Extra/Tracking
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README.md
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README.md

Introduction to Machine Learning

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.

Content

  1. Course Introduction
  2. K Nearest Neighbors [Sample Code]
  3. Linear Regression [Sample Code]
  4. TensorFlow [Sample Code]
  5. Logistic Regression and Neural Networks [Sample Code]
  6. Training Neural Networks
  7. Convolutional Neural Networks
  8. How Convolutional Neural Networks See [Sample Code]

Extras

  1. Tracking

Slides Content

Some slides contain animated content, in order to visualize them you must use Adobe Reader

Discussion

Please visit the Piazza board at http://piazza.com/ufes.br/fall2016/csc321/home

GIT LFS

This repository uses GIT LFS for the storage of media resources, in order to clone it you must install it, to do so follow the steps outlined here.

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