Artificial Intelligence, Artificial Neural Network, Computer Science, Linear Regression, Python.
most updates y_prime history['training']['accuracy'].append(accuracy) if (x_validation is not None and x_validation is not None): y_prime_validation = self.predict(x_validation) #Calculate and keep track of validation validation_loss = np.sum(self.loss_function(y_validation, y_prime_validation))