We can categorize DL architectures into four groups:
- Deep neural networks (DNNs)
- Convolutional neural networks (CNNs)
- Recurrent neural networks (RNNs)
- Emergent architectures (EAs)
However, DNNs, CNNs, and RNNs have many improved variants. Although most of the variants are proposed or developed for solving domain-specific research problems, the basic working principles still follow the original DNN, CNN, and RNN architectures. The following subsections will give you a brief introduction to these architectures.
