Neural networks are powerful tools, but they do not always provide accurate predictions. The accuracy of a neural network model depends on several factors such as the quality and quantity of training data, the network architecture, and the choice of hyperparameters. It is important to evaluate and validate the performance of a neural network before relying on its predictions.