| 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 |