| 英文/缩写 | 汉语 |
|---|---|
| Data generating distribution | 数据生成分布 |
| Data mining | 数据挖掘 |
| Data parallelism | 数据并行 |
| Data set | 数据集 |
| Data Wrangling | 数据整理 |
| Dataset augmentation | 数据集增强 |
| Decision Boundary | 决策边界 |
| Decision stump | 决策树桩 |
| Decision tree | 决策树／判定树 |
| Deconvolutional Network | 解卷积网络 |
| Deduction | 演绎 |
| Deep Belief Network | 深度信念网络 |
| Deep Boltzmann Machine | 深度玻尔兹曼机 |
| Deep circuit | 深度回路 |
| Deep Convolutional Generative Adversarial Network/DCGAN | 深度卷积生成对抗网络 |
| Deep generative model | 深度生成模型 |
| Deep learning | 深度学习 |
| Deep neural network/DNN | 深度神经网络 |
| Deep Q-Learning | 深度 Q 学习 |
| Deep Q-Network | 深度 Q 网络 |
| Denoising autoencoder | 去噪自编码器 |
| Denoising score matching | 去噪得分匹配 |
| Density estimation | 密度估计 |
| Density-based clustering | 密度聚类 |
| Detailed balance | 细致平衡 |
| Determinant | 行列式 |
| Diagonal matrix | 对角矩阵 |
| Differentiable neural computer | 可微分神经计算机 |
| Differential entropy | 微分熵 |
| Differential equation | 微分方程 |
| Dimensionality reduction algorithm | 降维算法 |
| Directed edge | 有向边 |
| Directed graphical model | 有向图模型 |
| Directional derivative | 方向导数 |
| Dirichlet distribution | 狄利克雷分布 |
| Disagreement measure | 不合度量 |
| Discriminative model | 判别模型 |
| Discriminator | 判别器 |
| Discriminator network | 判别器网络 |
| Distance measure | 距离度量 |
| Distance metric learning | 距离度量学习 |
| Distribution | 分布 |
| Divergence | 散度 |
| Diversity measure | 多样性度量／差异性度量 |
| Domain adaption | 领域自适应 |
| Double backprop | 双反向传播 |
| Doubly block circulant matrix | 双重分块循环矩阵 |
| Downsampling | 下采样 |
| D-separation/Directed separation | 有向分离 |
| Dual problem | 对偶问题 |
| Dummy node | 哑结点 |
| Dynamic Fusion | 动态融合 |
| Dynamic programming | 动态规划 |
人工智能专业术语Artificial-Intelligence-Terminology D
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