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| No. | 单词 | 释义 |
|---|---|---|
| 601 | Singular Value Decomposition | 奇异值分解 |
| 602 | Skip-Gram Model | 跳元模型 |
| 603 | Smoothing | 平滑 |
| 604 | Soft Margin | 软间隔 |
| 605 | Soft Margin Maximization | 软间隔最大化 |
| 606 | Softmax | Softmax/软最大化 |
| 607 | Softmax Function | Softmax函数/软最大化函数 |
| 608 | Softmax Regression | Softmax回归/软最大化回归 |
| 609 | Softplus Function | Softplus函数 |
| 610 | Span | 张成子空间 |
| 611 | Sparse Coding | 稀疏编码 |
| 612 | Sparse Representation | 稀疏表示 |
| 613 | Sparsity | 稀疏性 |
| 614 | Specialization | 特化 |
| 615 | Splitting Variable | 切分变量 |
| 616 | Squashing Function | 挤压函数 |
| 617 | Standard Normal Distribution | 标准正态分布 |
| 618 | State | 状态 |
| 619 | State Value Function | 状态值函数 |
| 620 | State-Action Value Function | 状态-动作值函数 |
| 621 | Stationary Distribution | 平稳分布 |
| 622 | Stationary Point | 驻点 |
| 623 | Statistical Learning | 统计学习 |
| 624 | Steepest Descent | 最速下降法 |
| 625 | Stochastic Gradient Descent | 随机梯度下降 |
| 626 | Stochastic Matrix | 随机矩阵 |
| 627 | Stochastic Process | 随机过程 |
| 628 | Stratified Sampling | 分层采样 |
| 629 | Stride | 步幅 |
| 630 | Structural Risk | 结构风险 |
| 631 | Structural Risk Minimization | 结构风险最小化 |
| 632 | Subsample | 子采样 |
| 633 | Subsampling | 下采样 |
| 634 | Subset Search | 子集搜索 |
| 635 | Subspace | 子空间 |
| 636 | Supervised Learning | 监督学习 |
| 637 | Support Vector | 支持向量 |
| 638 | Support Vector Expansion | 支持向量展式 |
| 639 | Support Vector Machine | 支持向量机 |
| 640 | Surrogat Loss | 替代损失 |
| 641 | Surrogate Function | 替代函数 |
| 642 | Surrogate Loss Function | 代理损失函数 |
| 643 | Symbolism | 符号主义 |
| 644 | Tangent Propagation | 正切传播 |
| 645 | Teacher Forcing | 强制教学 |
| 646 | Temporal-Difference Learning | 时序差分学习 |
| 647 | Tensor | 张量 |
| 648 | Test Error | 测试误差 |
| 649 | Test Sample | 测试样本 |
| 650 | Test Set | 测试集 |
| 651 | Threshold | 阈值 |
| 652 | Threshold Logic Unit | 阈值逻辑单元 |
| 653 | Threshold-Moving | 阈值移动 |
| 654 | Tied Weight | 捆绑权重 |
| 655 | Tikhonov Regularization | Tikhonov正则化 |
| 656 | Time Delay Neural Network | 时延神经网络 |
| 657 | Time Homogenous Markov Chain | 时间齐次马尔可夫链 |
| 658 | Time Step | 时间步 |
| 659 | Token | 词元 |
| 660 | Tokenization | 词元化 |
| 661 | Tokenize | 词元化 |
| 662 | Tokenizer | 词元分析器 |
| 663 | Topic Model | 话题模型 |
| 664 | Topic Modeling | 话题分析 |
| 665 | Trace | 迹 |
| 666 | Training | 训练 |
| 667 | Training Error | 训练误差 |
| 668 | Training Sample | 训练样本 |
| 669 | Training Set | 训练集 |
| 670 | Transductive Learning | 直推学习 |
| 671 | Transductive Transfer Learning | 直推迁移学习 |
| 672 | Transfer Learning | 迁移学习 |
| 673 | Transformer | Transformer |
| 674 | Transformer Model | Transformer模型 |
| 675 | Transpose | 转置 |
| 676 | Transposed Convolution | 转置卷积 |
| 677 | Trial And Error | 试错 |
| 678 | Trigram | 三元语法 |
| 679 | Turing Machine | 图灵机 |
| 680 | Underfitting | 欠拟合 |
| 681 | Undersampling | 欠采样 |
| 682 | Undirected Graphical Model | 无向图模型 |
| 683 | Uniform Distribution | 均匀分布 |
| 684 | Unigram | 一元语法 |
| 685 | Unit | 单元 |
| 686 | Universal Approximation Theorem | 通用近似定理 |
| 687 | Universal Approximator | 通用近似器 |
| 688 | Universal Function Approximator | 通用函数近似器 |
| 689 | Unknown Token | 未知词元 |
| 690 | Unsupervised Layer-Wise Training | 无监督逐层训练 |
| 691 | Unsupervised Learning | 无监督学习 |
| 692 | Update Gate | 更新门 |
| 693 | Upsampling | 上采样 |
| 694 | V-Structure | V型结构 |
| 695 | Validation Set | 验证集 |
| 696 | Validity Index | 有效性指标 |
| 697 | Value Function Approximation | 值函数近似 |
| 698 | Value Iteration | 值迭代 |
| 699 | Vanishing Gradient Problem | 梯度消失问题 |
| 700 | Vapnik-Chervonenkis Dimension | VC维 |
| 701 | Variable Elimination | 变量消去 |
| 702 | Variance | 方差 |
| 703 | Variational Autoencoder | 变分自编码器 |
| 704 | Variational Inference | 变分推断 |
| 705 | Vector | 向量 |
| 706 | Vector Space Model | 向量空间模型 |
| 707 | Version Space | 版本空间 |
| 708 | Viterbi Algorithm | 维特比算法 |
| 709 | Vocabulary | 词表 |
| 710 | Warp | 线程束 |
| 711 | Weak Learner | 弱学习器 |
| 712 | Weakly Supervised Learning | 弱监督学习 |
| 713 | Weight | 权重 |
| 714 | Weight Decay | 权重衰减 |
| 715 | Weight Sharing | 权共享 |
| 716 | Weighted Voting | 加权投票 |
| 717 | Whitening | 白化 |
| 718 | Winner-Take-All | 胜者通吃 |
| 719 | Within-Class Scatter Matrix | 类内散度矩阵 |
| 720 | Word Embedding | 词嵌入 |
| 721 | Word Sense Disambiguation | 词义消歧 |
| 722 | Word Vector | 词向量 |
| 723 | Zero Padding | 零填充 |
| 724 | Zero-Shot Learning | 零试学习 |
| 725 | Zipf's Law | 齐普夫定律 |