Artificial Intelligence, Artificial Neural Network, Computer Science, Linear Regression, Python.
self.beta if verbose and (ephoc % 30 == 0): self.plot_line(ephoc+1, x, y) #Save loss and accuracy to plot graph losses.append(loss) accuracies.append(self.accuracy_funciton(y, y_prime)) x_axis = np.arange(ephocs) #Set best values to model self.theta = best_theta self.beta = best_beta #Plot graph