This notebook contains
- Performance of Sigmoid Neuron on linearly non seperable data.
- 3 Layer FFN for binary classification with
- 2 input neurons
- 1 hidden layer with 3 neurons
- 1 output neuron
- Scalar back propagation (scalar gradient decent)
- Generic FFN class for binary classification with scalar back propagation
- Generic FFN class for multiclass classification with scalar back propagation