- FFNN - a module, which contains class of a feed forward neural network. The n_network is a reproduced and reworked version of a network shown there - (source: https://github.com/makeyourownneuralnetwork/makeyourownneuralnetwork/blob/master/part3_neural_network_mnist_data_with_rotations.ipynb). The changes made the network more universal because now it allows to create any amount of its layers and nodes in each layer.
- weights_recorder - a module, which allows to init, learn and train the FFNN to save weights of the network, in order reuse them later.
- opt_live_predictor - its main purpose is to parse a sport statistics web-site and return a list of data, required for predicting a sport event results (contains only a template of how it might look).
- gui - a module, which contains several classes, that are responsible for predicting sport events and visualization of the predictions.
For running all possible states of the program interface:
- Comment out line 26 in the gui.py module:
- Uncomment any out of 5 commented test cases placed in lines from 29th to 54th in the gui.py module:
- Run gui.py.
If you made everything right, you would be able to see similar to on of the next two screenshots:
