I am trying to implement a basic neural network model from scratch using numpy and with different activation functions at hidden layer.
This notebook contains following sections.
- Load input data
- Initializing weights and bias
- Activation Functions
- Feed forward propagation
- Cost calculation
- Back propagation
- Update parameters
- Conclusion