This is a project in which i train models to recognize cats in images
In these branches I will put various implementations:
- lr - through logistic regression
- nn - through simple neural network
- dnn - through deep neural network
- cnn - through convolutional neural network
Then, when I finish all the implementations, I will give some analysis and pros and cons of all this stuff.
