The 12 Deep Learning Architectures You Need to Know

• URL: https://www.facebook.com/share/1DD8Ycxh2d/?mibextid=wwXIfr
• Date Saved: 2026-06-19
• Source: Facebook (Amer Obeidat)
• Tags: ai-engineering

Summary

一張 infographic 列出 12 個必知的 Deep Learning 架構（The Building Blocks of Deep Learning）：

1. MLP (Multi-Layer Perceptron) — 基礎，fully connected layers
2. CNN (Convolutional Neural Network)
3. RNN (Recurrent Neural Network)
4. LSTM (Long Short-Term Memory)
5. GRU (Gated Recurrent Unit)
6. Transformer
7. Autoencoder
8. VAE (Variational Autoencoder)
9. GAN (Generative Adversarial Network)
10. Diffusion Model
11. Graph Neural Network (GNN)
12. (第12個被截斷，推測可能是 State Space Model / Mamba 或 Mixture of Experts)

注：Facebook og:description 被截斷，只看到前幾個架構的描述。圖片已下載。