My Attempt to learn how to build AI's and the algorithms that go with them.
- Genetic Algorithms
- ✅ Day 1 - Smart Rockets
- ✅ Day 2 - Shakesperare Monkey
- ✅ Day 3 - Evolutionary System
- ✅ Day 4 - G.A. Recap
- Neural Networks
- ⬜ Day 5 - Simple Perceptron
- ⬜ Day 6 - Neural Network Lib (Feed Forward Algorithm)
- ⬜ Day 7 - Neural Network Lib (Backpropagation Algorithm)
- ⬜ Day 8 - Tensorflow Basics (Feed Forward)
- ⬜ Day 9 - Tensorflow Basics (Backpropagation)
- TODO Different types of Neural Networks (Convolutional, Encoder, Decoder, AutoEncoder ...);
Where I'm learning this stuff from:
- The Coding Train https://www.youtube.com/c/TheCodingTrain
- FutureSpace https://www.futurespace.es/en/solucionando-problemas-sin-solucion-con-algoritmos-geneticos/
- Towards Data Science https://towardsdatascience.com/introduction-to-genetic-algorithms-including-example-code-e396e98d8bf3
- Dot CSV https://www.youtube.com/c/DotCSV