Various neural network models and Evaluation techniques implemented in scratch via Python.
The list includes:
- Single Perceptron model for AND Gate designing
- Single Perceptron model for linearly separable IRIS dataset with two classes
- Single Perceptron model for non-linearly separable IRIS dataset with 3 classes. One vs One technique is utilised here.
- K-fold cross validation(k=10 here)
- Multi-Layer Perceptron on MNIST dataset
- Convolution Neural Network on MNIST dataset