A. Feed-forward neural networks transmit data in one direction—from input to output—without feedback loops, making them suitable for tasks like pattern recognition and classification. Feedback neural networks, on the other hand, incorporate feedback connections, allowing output to affect subsequent processing. Recurrent Neural Networks (RNNs) are a common type of feedback network, useful for sequential data tasks like language modeling, where context matters.