NeuralNetwork.py

import numpy as np

class NeuralNetwork:
    def __init__(self):
        self.initialize()

    def initialize(self):
        # ======================== INITIALIZE NETWORK WEIGTHS AND BIASES =============================
        pass



        # ============================================================================================

    def think():
        # ======================== PROCESS INFORMATION SENSED TO ACT =============================
        pass


        # ========================================================================================
        return self.act(result)

    def act(self, output):
        # ======================== USE THE ACTIVATION FUNCTION TO ACT =============================
        pass


        # =========================================================================================
        if (action == 0):
            return "JUMP"
        elif (action == 1):
            return "DUCK"
        elif (action == 2):
            return "RUN"