Ricardo-Identifier

1. Save your picture and mention its path in the main method as directed.
2. Build and run.

This project can also be used for other binary classifications too.

1. Create a NeuralNetwork object.
2. Train the neural network. -> For example you want to classify dogs. Save many dog and non-dog pictures in the directory. Mention their path in the data string and set their labels accordingly(Y array). 1 if dog, 0 if non-dog.
3. Set number of iterations and learning_rate (Like : 1000, 0.01) (Smaller learning rate and larger number of iterations creates an accurate neural network but slow)
4. Your neural net is ready, enjoy.

NB. This is just a logistic regression model. So accuracy will be at most 70-80%.