Forward Propagation

feedforward.py

# Forward Propagation Logic
def forwardprop(self):
    # dynamically calculating first layer
    exec("self.z1 = np.dot( self.w1, self.z0 ) + self.b1")

    # dynamically calculating the "a" of layer
    exec("self.a1 = self.sigmoid(self.z1)")

    # dynamically calculating all other layers
    for i in range(2, self.num_layers + 1):
        # dynamically calculating "z"
        cmd1 = "self.z{} = np.dot( self.w{}, self.a{} ) + self.b{}".format(
            i, i, i-1, i)

        # dynamically calculating the "a" of layers
        cmd2 = "self.a{} = self.sigmoid(self.z{})".format(i, i)

        # executing code
        exec(cmd1)
        exec(cmd2)

    # returning output
    temp = []
    exec("temp.append(self.a{}[0][0])".format(self.num_layers))
    return temp