It is the homework of class Machine learning. Implemet what I have learned from this class.
- Simple linear network
- feed-forward and back-propagation
- Stochastic Gradient Descent for updating the weights.
- Bias neuron for regression task
- Only Sigmoid and ReLU were implemented as activate function