This repository contains some machine learning solution implemented with neurolab in python.
| Source | Description | |
|---|---|---|
| 1 | Perceptron Classifier | Building a perceptron based classifier, Training it and checking its success rate. |
| 2 | Single Layer Neural Network | Build a single layer neural network to predict based on a 4 class dataset with 2 features. |
| 3 | Multilayer Neural Network | Giving more freedom to our model by adding layers. Extract underlying patterns. Using it as a regressor. |
| 4 | Vector Quantizer | Use artificial neural networks to build a vector quantizer. Use the vector quantizer in clustering. |
| 5 | Recurrent Neural Network | Build a recurrent neural network to work with time-series data. |
| 6 | Character Visualization | Generate handwritten characters in optical character recognition database. |
| 7 | OCR | Build a optical character recognition system using artificial neural network. |
If you are facing problem running your code with neurolab with python 3, try my version of it.
This project is licensed under the Apache License 2.0 - see the LICENSE file for details.