Project name: INF3490/INF4490 Biologically Inspired Computing
Author: olehermanse ( http://www.github.com/olehermanse )
License: The MIT License
Code is written in python 3. Repository includes course material(exercises and assignments) as well as notes and examples from my group lectures.
- Installing python
- Introduction to Python
- Intro to course and search algorithms
- Evolutionary Computing
- Perceptron
- Reinforcement Learning
- Support Vector Machines
- Unsupervised Learning
- Particle Swarm Optimization
- Cartesian Genetic Programming
- Week 1 - Simple Search Algorithms
- Week 2 - Representations
- Week 3 - Optimization Performance
- Week 4 - Evolutionary Computing
- Week 5 - Neural Networks
- Week 6 - Advanced Neural Networks
- Week 7 - Reinforcement Learning
- Week 8 - Support Vector Machines
- Week 9 - Unsupervised Learning
- Week 10 - Particle Swarms and Cartesian Genetic Programming
$ git clone git@github.com:olehermanse/INF3490-AI_Machine_Learning.git
If you have corrections, suggestions or improvements: feel free to submit an issue or make a pull request.
- Eivind Samuelsen
- Jim Tørresen
- Stian Lind Petlund
- Magnus Olden
- Ole Herman Schumacher Elgesem
- Torstein Brevig
- Kai Olav Ellefsen
- Esben Slatto (#1)
- Kris-Mikael Krister (#2 #3 #4 )
This copyright notice and license only applies to text and source code written by olehermanse. All figures, assignment and exercise texts in the material folder are copyright to their respective authors and not licensed under the MIT license.
Copyright (c) 2016 olehermanse
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The above copyright notice and this permission notice shall be included in
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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