Hyperparameter settings play a crucial role in the performance of Feedforward Neural Networks, and understanding them is essential for effective implementation. The video provides an overview of the main hyperparameters associated with Neural Networks, detailing their significance in the neural network lifecycle and explaining their meanings. It also offers guidance on setting these hyperparameters using Python and Keras, emphasizing their importance in optimizing the functionality and success of neural networks.