图1。深度学习技术的分类学。图改编自参考[70]。MLP: Multi-Layer Perceptron; CNN: Convolutional Neural Network; ResNet: Residual Neural Net- work; GCN: Graph Convolutional Network; GAT: Graph Attention Network; RNN: Recurrent Neural Network; LSTM: Long Short-Term Memory; GRU: Gated Recurrent Unit; SAT: Structure- Aware Transformer; GAN: Generative Adversarial Network; AE: Auto-Encoder; SAE:稀疏自动编码器; DAE:DENOISISIS AUTOCODER; CAE:CASSITIVE AUTOCONEDER; VAE:VIRIATIANIT AUTOCONECODER; SOM:自组织映射; RBM:限制性Boltzmann Machine; DBN; DBN; DBN:深信信念网络:DRL:DRL:DRL:深度强化:深度强化学习。
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