Deep Learning, Machine Learning, Artificial Intelligence, Loss Function, Neural Networks.
mse_loss(y_pred, y_true): """ Calculates the mean squared error (MSE) loss between predicted and true values. Args: - y_pred: predicted values - y_true: true values Returns: - mse_loss: mean squared error loss """ n = len(y_true) mse_loss = np.sum((y_pred - y_true) ** 2) / n return mse_loss In this