Feed-forward neural networks (FNNs), convolutional neural networks (CNNs), and recurrent neural networks (RNNs) are all fundamental architectures in the field of deep learning, each with unique characteristics and applications. When it comes to handling sequential data, these architectures exhibit distinct differences in their design, functionality, and suitability. Feed-Forward Neural Networks (FNNs) Feed-forward neural networks represent