| Data generating distribution |
數(shù)據(jù)生成分布 |
| Data mining |
數(shù)據(jù)挖掘 |
| Data parallelism |
數(shù)據(jù)并行 |
| Data set |
數(shù)據(jù)集 |
| Data Wrangling |
數(shù)據(jù)整理 |
| Dataset augmentation |
數(shù)據(jù)集增強(qiáng) |
| Decision Boundary |
決策邊界 |
| Decision stump |
決策樹樁 |
| Decision tree |
決策樹／判定樹 |
| Deconvolutional Network |
解卷積網(wǎng)絡(luò) |
| Deduction |
演繹 |
| Deep Belief Network |
深度信念網(wǎng)絡(luò) |
| Deep Boltzmann Machine |
深度玻爾茲曼機(jī) |
| Deep circuit |
深度回路 |
| Deep Convolutional Generative Adversarial Network/DCGAN |
深度卷積生成對(duì)抗網(wǎng)絡(luò) |
| Deep generative model |
深度生成模型 |
| Deep learning |
深度學(xué)習(xí) |
| Deep neural network/DNN |
深度神經(jīng)網(wǎng)絡(luò) |
| Deep Q-Learning |
深度 Q 學(xué)習(xí) |
| Deep Q-Network |
深度 Q 網(wǎng)絡(luò) |
| Denoising autoencoder |
去噪自編碼器 |
| Denoising score matching |
去噪得分匹配 |
| Density estimation |
密度估計(jì) |
| Density-based clustering |
密度聚類 |
| Detailed balance |
細(xì)致平衡 |
| Determinant |
行列式 |
| Diagonal matrix |
對(duì)角矩陣 |
| Differentiable neural computer |
可微分神經(jīng)計(jì)算機(jī) |
| Di?erential entropy |
微分熵 |
| Di?erential equation |
微分方程 |
| Dimensionality reduction algorithm |
降維算法 |
| Directed edge |
有向邊 |
| Directed graphical model |
有向圖模型 |
| Directional derivative |
方向?qū)?shù) |
| Dirichlet distribution |
狄利克雷分布 |
| Disagreement measure |
不合度量 |
| Discriminative model |
判別模型 |
| Discriminator |
判別器 |
| Discriminator network |
判別器網(wǎng)絡(luò) |
| Distance measure |
距離度量 |
| Distance metric learning |
距離度量學(xué)習(xí) |
| Distribution |
分布 |
| Divergence |
散度 |
| Diversity measure |
多樣性度量／差異性度量 |
| Domain adaption |
領(lǐng)域自適應(yīng) |
| Double backprop |
雙反向傳播 |
| Doubly block circulant matrix |
雙重分塊循環(huán)矩陣 |
| Downsampling |
下采樣 |
| D-separation/Directed separation |
有向分離 |
| Dual problem |
對(duì)偶問題 |
| Dummy node |
啞結(jié)點(diǎn) |
| Dynamic Fusion |
動(dòng)態(tài)融合 |
| Dynamic programming |
動(dòng)態(tài)規(guī)劃 |
