Neural Network from Scratch
Published:
Design features:
- Input layer: Has 8 neurons
- Hidden layers: There are two hidden layers. The first has 4 neurons while the second has 5
- Output layer: has one neuron
- Activation function used: sigmoid
- Perhaps the most profound feature of our implementation is the that all our preprocessing was based on scientifically validated facts and correlation between parameters
The project can be found here