Implementation of a feedforward Neural Network using backpropagation for solving pattern classification problems.
- Python 3.x
- Numpy
- Matplotlib
- Pandas
$ python excercise2.py
Will perform all networks (2 to 10 neurons) for all datasets.
$ python excercise2_bestset.py
Will perform all networks (2 to 10 neurons) for only for the best dataset.
$ python excercise3_p1.py
Will run prediction for binary classification. As in Excercise 3 Part 1.
$ python excercise3_p2.py
Will run prediction for multiclass classification. As in Excercise 3 Part 2.
- Graphics and results are stored in
results/
folder. - A complete description of this proyect can be found in the
docs
folder.