In the field of deep learning, specifically in the realm of recurrent neural networks (RNNs), there are two main types of RNN architectures: unidirectional and bidirectional RNNs. These architectures differ in the way they process sequential data, and understanding their differences is important for effectively utilizing RNNs in various applications. Unidirectional RNNs are the most