Project Description

I have created a program that can generate any kind of neural network structure (different number of hidden layers, different number of neurons in each layer). I have implemented the sigmoid function to be the activation function of all these neurons. I have tested on multiple datasets (breast cancer detection, wine classification, contraceptives methods, images of digits classification, etc) and I have achieved 90%+ accuracy and F1-score for all of them while testing.