人工智能入门视频和双语术语表

由 demi 提交于周二, 28 四月 2020 - 17:09

来源：译匠（微信号：fanyijiang666）

人工智能（Artificial Intelligence），英文缩写为AI。“人工智能”一词最初是在1956 年Dartmouth学会上提出的。

人工智能是研究、开发用于模拟、延伸和扩展人的智能的理论、方法、技术及应用系统的一门新的技术科学。人工智能是计算机科学的一个分支，它企图了解智能的实质，并生产出一种新的能以人类智能相似的方式作出反应的智能机器。

除了计算机科学以外, 人工智能还涉及信息论、控制论、自动化、仿生学、生物学、心理学、数理逻辑、语言学、医学和哲学等多门学科。人工智能学科研究的主要内容包括：知识表示、自动推理和搜索方法、机器学习和知识获取、知识处理系统、自然语言理解、计算机视觉、智能机器人、自动程序设计等方面。

2016年1月，Google旗下的深度学习团队Deepmind开发的人工智能围棋软件AlphaGo，以5:0战胜了围棋欧洲冠军樊麾。这是人工智能第一次战胜职业围棋手。人工智能在翻译领域也被人广泛热议。

今天为大家推荐一则关于AI的小视频（小伙伴可以做做听力或口译练习）和双语术语表。

<table style="width: 499px;" border="1px">
<thead>
<tr>
<th>缩写</th>
<th style="width: 257px;">英语</th>
<th style="width: 144px;">中文</th>
</tr>
</thead>
<tbody>
<tr>
<td> </td>
<td style="width: 257px;">A</td>
<td style="width: 144px;"> </td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">Activation Function</td>
<td style="width: 144px;">激活函数</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">Adversarial Networks</td>
<td style="width: 144px;">对抗网络</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">Affine Layer</td>
<td style="width: 144px;">仿射层</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">alpha-beta pruning</td>
<td style="width: 144px;">α-β剪枝</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">Approximation</td>
<td style="width: 144px;">近似</td>
</tr>
<tr>
<td>AGI</td>
<td style="width: 257px;">Artificial General Intelligence</td>
<td style="width: 144px;">通用人工智能</td>
</tr>
<tr>
<td>AI</td>
<td style="width: 257px;">Artificial Intelligence</td>
<td style="width: 144px;">人工智能</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">association analysis</td>
<td style="width: 144px;">关联分析</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">attention mechanism</td>
<td style="width: 144px;">注意机制</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">autoencoder</td>
<td style="width: 144px;">自编码器</td>
</tr>
<tr>
<td>ASR</td>
<td style="width: 257px;">automatic speech recognition</td>
<td style="width: 144px;">自动语音识别</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">automatic summarization</td>
<td style="width: 144px;">自动摘要</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">average gradient</td>
<td style="width: 144px;">平均梯度</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">Average-Pooling</td>
<td style="width: 144px;">平均池化</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">B</td>
<td style="width: 144px;"> </td>
</tr>
<tr>
<td>BP</td>
<td style="width: 257px;">backpropagation</td>
<td style="width: 144px;">反向传播</td>
</tr>
<tr>
<td>BPTT</td>
<td style="width: 257px;">Backpropagation Through Time</td>
<td style="width: 144px;">通过时间的反向传播</td>
</tr>
<tr>
<td>BN</td>
<td style="width: 257px;">Batch Normalization</td>
<td style="width: 144px;">分批标准化</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">Bayesian network</td>
<td style="width: 144px;">贝叶斯网络</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">Bias-Variance Dilemma</td>
<td style="width: 144px;">偏差/方差困境</td>
</tr>
<tr>
<td>Bi-LSTM</td>
<td style="width: 257px;">Bi-directional Long-Short Term Memory</td>
<td style="width: 144px;">双向长短期记忆</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">bias</td>
<td style="width: 144px;">偏置/偏差</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">big data</td>
<td style="width: 144px;">大数据</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">Boltzmann machine</td>
<td style="width: 144px;">玻尔兹曼机</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">C</td>
<td style="width: 144px;"> </td>
</tr>
<tr>
<td>CPU</td>
<td style="width: 257px;">Central Processing Unit</td>
<td style="width: 144px;">中央处理器</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">chunk</td>
<td style="width: 144px;">词块</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">co-adapting</td>
<td style="width: 144px;">共适应</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">co-occurrence</td>
<td style="width: 144px;">共现</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">Computation Cost</td>
<td style="width: 144px;">计算成本</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">computer vision</td>
<td style="width: 144px;">计算机视觉</td>
</tr>
<tr>
<td>CRF</td>
<td style="width: 257px;">conditional random field</td>
<td style="width: 144px;">条件随机域/场</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">convergence</td>
<td style="width: 144px;">收敛</td>
</tr>
<tr>
<td>CA</td>
<td style="width: 257px;">conversational agent</td>
<td style="width: 144px;">会话代理</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">convexity</td>
<td style="width: 144px;">凸性</td>
</tr>
<tr>
<td>CNN</td>
<td style="width: 257px;">convolutional neural network</td>
<td style="width: 144px;">卷积神经网络</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">Cost Function</td>
<td style="width: 144px;">成本函数</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">cross entropy</td>
<td style="width: 144px;">交叉熵</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">D</td>
<td style="width: 144px;"> </td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">Decision Boundary</td>
<td style="width: 144px;">决策边界</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">Decision Trees</td>
<td style="width: 144px;">决策树</td>
</tr>
<tr>
<td>DBN</td>
<td style="width: 257px;">Deep Belief Network</td>
<td style="width: 144px;">深度信念网络</td>
</tr>
<tr>
<td>DCGAN</td>
<td style="width: 257px;">Deep Convolutional Generative Adversarial Network</td>
<td style="width: 144px;">深度卷积生成对抗网络</td>
</tr>
<tr>
<td>DL</td>
<td style="width: 257px;">deep learning</td>
<td style="width: 144px;">深度学习</td>
</tr>
<tr>
<td>DNN</td>
<td style="width: 257px;">deep neural network</td>
<td style="width: 144px;">深度神经网络</td>
</tr>
<tr>
<td>DQN</td>
<td style="width: 257px;">Deep Q-Learning</td>
<td style="width: 144px;">深度Q学习</td>
</tr>
<tr>
<td>DNC</td>
<td style="width: 257px;">differentiable neural computer</td>
<td style="width: 144px;">可微分神经计算机</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">dimensionality reduction algorithm</td>
<td style="width: 144px;">降维算法</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">discriminative model</td>
<td style="width: 144px;">判别模型</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">discriminator</td>
<td style="width: 144px;">判别器</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">divergence</td>
<td style="width: 144px;">散度</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">Dropout</td>
<td style="width: 144px;"> </td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">Dynamic Fusion</td>
<td style="width: 144px;">动态融合</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">E</td>
<td style="width: 144px;"> </td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">Embedding</td>
<td style="width: 144px;">嵌入</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">emotional analysis</td>
<td style="width: 144px;">情绪分析</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">End-to-End</td>
<td style="width: 144px;">端到端</td>
</tr>
<tr>
<td>EM</td>
<td style="width: 257px;">Expectation-Maximization</td>
<td style="width: 144px;">期望最大化</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">Exploding Gradient Problem</td>
<td style="width: 144px;">梯度爆炸问题</td>
</tr>
<tr>
<td>ELM</td>
<td style="width: 257px;">Extreme Learning Machine</td>
<td style="width: 144px;">超限学习机</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">F</td>
<td style="width: 144px;"> </td>
</tr>
<tr>
<td>FAIR</td>
<td style="width: 257px;">Facebook Artificial Intelligence Research</td>
<td style="width: 144px;">Facebook人工智能研究所</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">factorization</td>
<td style="width: 144px;">因子分解</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">feature engineering</td>
<td style="width: 144px;">特征工程</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">Featured Learning</td>
<td style="width: 144px;">特征学习</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">Feedforward Neural Networks</td>
<td style="width: 144px;">前馈神经网络</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">G</td>
<td style="width: 144px;"> </td>
</tr>
<tr>
<td>GMM</td>
<td style="width: 257px;">Gaussian Mixture Model</td>
<td style="width: 144px;">高斯混合模型</td>
</tr>
<tr>
<td>GA</td>
<td style="width: 257px;">Genetic Algorithm</td>
<td style="width: 144px;">遗传算法</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">Generalization</td>
<td style="width: 144px;">泛化</td>
</tr>
<tr>
<td>GAN</td>
<td style="width: 257px;">Generative Adversarial Networks</td>
<td style="width: 144px;">生成对抗网络</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">Generative Model</td>
<td style="width: 144px;">生成模型</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">Generator</td>
<td style="width: 144px;">生成器</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">Global Optimization</td>
<td style="width: 144px;">全局优化</td>
</tr>
<tr>
<td>GNMT</td>
<td style="width: 257px;">Google Neural Machine Translation</td>
<td style="width: 144px;">谷歌神经机器翻译</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">Gradient Descent</td>
<td style="width: 144px;">梯度下降</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">graph theory</td>
<td style="width: 144px;">图论</td>
</tr>
<tr>
<td>GPU</td>
<td style="width: 257px;">graphics processing unit</td>
<td style="width: 144px;">图形处理单元/图形处理器</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">H</td>
<td style="width: 144px;"> </td>
</tr>
<tr>
<td>HDM</td>
<td style="width: 257px;">hidden dynamic model</td>
<td style="width: 144px;">隐动态模型</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">hidden layer</td>
<td style="width: 144px;">隐藏层</td>
</tr>
<tr>
<td>HMM</td>
<td style="width: 257px;">Hidden Markov Model</td>
<td style="width: 144px;">隐马尔可夫模型</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">hybrid computing</td>
<td style="width: 144px;">混合计算</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">Hyperparameter</td>
<td style="width: 144px;">超参数</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">I</td>
<td style="width: 144px;"> </td>
</tr>
<tr>
<td>ICA</td>
<td style="width: 257px;">Independent Component Analysis</td>
<td style="width: 144px;">独立成分分析</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">input</td>
<td style="width: 144px;">输入</td>
</tr>
<tr>
<td>ICML</td>
<td style="width: 257px;">International Conference for Machine Learning</td>
<td style="width: 144px;">国际机器学习大会</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">language phenomena</td>
<td style="width: 144px;">语言现象</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">latent dirichlet allocation</td>
<td style="width: 144px;">隐含狄利克雷分布</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">J</td>
<td style="width: 144px;"> </td>
</tr>
<tr>
<td>JSD</td>
<td style="width: 257px;">Jensen-Shannon Divergence</td>
<td style="width: 144px;">JS距离</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">K</td>
<td style="width: 144px;"> </td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">K-Means Clustering</td>
<td style="width: 144px;">K-均值聚类</td>
</tr>
<tr>
<td>K-NN</td>
<td style="width: 257px;">K-Nearest Neighbours Algorithm</td>
<td style="width: 144px;">K-最近邻算法</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">Knowledge Representation</td>
<td style="width: 144px;">知识表征</td>
</tr>
<tr>
<td>KB</td>
<td style="width: 257px;">knowledge base</td>
<td style="width: 144px;">知识库</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">L</td>
<td style="width: 144px;"> </td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">Latent Dirichlet Allocation</td>
<td style="width: 144px;">隐狄利克雷分布</td>
</tr>
<tr>
<td>LSA</td>
<td style="width: 257px;">latent semantic analysis</td>
<td style="width: 144px;">潜在语义分析</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">Linear Regression</td>
<td style="width: 144px;">线性回归</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">log likelihood</td>
<td style="width: 144px;">对数似然</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">Logistic Regression</td>
<td style="width: 144px;">Logistic回归</td>
</tr>
<tr>
<td>LSTM</td>
<td style="width: 257px;">Long-Short Term Memory</td>
<td style="width: 144px;">长短期记忆</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">loss</td>
<td style="width: 144px;">损失</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">M</td>
<td style="width: 144px;"> </td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">Max-Pooling</td>
<td style="width: 144px;">最大池化</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">Maximum Likelihood</td>
<td style="width: 144px;">最大似然</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">minimax game</td>
<td style="width: 144px;">最小最大博弈</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">Momentum</td>
<td style="width: 144px;">动量</td>
</tr>
<tr>
<td>MLP</td>
<td style="width: 257px;">Multilayer Perceptron</td>
<td style="width: 144px;">多层感知器</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">multi-document summarization</td>
<td style="width: 144px;">多文档摘要</td>
</tr>
<tr>
<td>MLP</td>
<td style="width: 257px;">multi layered perceptron</td>
<td style="width: 144px;">多层感知器</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">multiple linear regression</td>
<td style="width: 144px;">多元线性回归</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">N</td>
<td style="width: 144px;"> </td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">Naive Bayes Classifier</td>
<td style="width: 144px;">朴素贝叶斯分类器</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">named entity recognition</td>
<td style="width: 144px;">命名实体识别</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">Nash equilibrium</td>
<td style="width: 144px;">纳什均衡</td>
</tr>
<tr>
<td>NLG</td>
<td style="width: 257px;">natural language generation</td>
<td style="width: 144px;">自然语言生成</td>
</tr>
<tr>
<td>NLP</td>
<td style="width: 257px;">natural language processing</td>
<td style="width: 144px;">自然语言处理</td>
</tr>
<tr>
<td>NLL</td>
<td style="width: 257px;">Negative Log Likelihood</td>
<td style="width: 144px;">负对数似然</td>
</tr>
<tr>
<td>NMT</td>
<td style="width: 257px;">Neural Machine Translation</td>
<td style="width: 144px;">神经机器翻译</td>
</tr>
<tr>
<td>NTM</td>
<td style="width: 257px;">Neural Turing Machine</td>
<td style="width: 144px;">神经图灵机</td>
</tr>
<tr>
<td>NCE</td>
<td style="width: 257px;">noise-contrastive estimation</td>
<td style="width: 144px;">噪音对比估计</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">non-convex optimization</td>
<td style="width: 144px;">非凸优化</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">non-negative matrix factorization</td>
<td style="width: 144px;">非负矩阵分解</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">Non-Saturating Game</td>
<td style="width: 144px;">非饱和博弈</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">O</td>
<td style="width: 144px;"> </td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">objective function</td>
<td style="width: 144px;">目标函数</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">Off-Policy</td>
<td style="width: 144px;">离策略</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">On-Policy</td>
<td style="width: 144px;">在策略</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">output</td>
<td style="width: 144px;">输出</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">P</td>
<td style="width: 144px;"> </td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">Parameter</td>
<td style="width: 144px;">参数</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">parse tree</td>
<td style="width: 144px;">解析树</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">part-of-speech tagging</td>
<td style="width: 144px;">词性标注</td>
</tr>
<tr>
<td>PSO</td>
<td style="width: 257px;">Particle Swarm Optimization</td>
<td style="width: 144px;">粒子群优化算法</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">perceptron</td>
<td style="width: 144px;">感知器</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">polarity detection</td>
<td style="width: 144px;">极性检测</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">pooling</td>
<td style="width: 144px;">池化</td>
</tr>
<tr>
<td>PPGN</td>
<td style="width: 257px;">Plug and Play Generative Network</td>
<td style="width: 144px;">即插即用生成网络</td>
</tr>
<tr>
<td>PCA</td>
<td style="width: 257px;">principal component analysis</td>
<td style="width: 144px;">主成分分析</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">Probability Graphical Model</td>
<td style="width: 144px;">概率图模型</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">Q</td>
<td style="width: 144px;"> </td>
</tr>
<tr>
<td>QNN</td>
<td style="width: 257px;">Quantized Neural Network</td>
<td style="width: 144px;">量子化神经网络</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">quantum computer</td>
<td style="width: 144px;">量子计算机</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">Quantum Computing</td>
<td style="width: 144px;">量子计算</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">R</td>
<td style="width: 144px;"> </td>
</tr>
<tr>
<td>RBF</td>
<td style="width: 257px;">Radial Basis Function</td>
<td style="width: 144px;">径向基函数</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">Random Forest Algorithm</td>
<td style="width: 144px;">随机森林算法</td>
</tr>
<tr>
<td>ReLU</td>
<td style="width: 257px;">Rectified Linear Unit</td>
<td style="width: 144px;">线性修正单元/线性修正函数</td>
</tr>
<tr>
<td>RNN</td>
<td style="width: 257px;">Recurrent Neural Network</td>
<td style="width: 144px;">循环神经网络</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">recursive neural network</td>
<td style="width: 144px;">递归神经网络</td>
</tr>
<tr>
<td>RL</td>
<td style="width: 257px;">reinforcement learning</td>
<td style="width: 144px;">强化学习</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">representation</td>
<td style="width: 144px;">表征</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">representation learning</td>
<td style="width: 144px;">表征学习</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">Residual Mapping</td>
<td style="width: 144px;">残差映射</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">Residual Network</td>
<td style="width: 144px;">残差网络</td>
</tr>
<tr>
<td>RBM</td>
<td style="width: 257px;">Restricted Boltzmann Machine</td>
<td style="width: 144px;">受限玻尔兹曼机</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">Robot</td>
<td style="width: 144px;">机器人</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">Robustness</td>
<td style="width: 144px;">稳健性</td>
</tr>
<tr>
<td>RE</td>
<td style="width: 257px;">Rule Engine</td>
<td style="width: 144px;">规则引擎</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">S</td>
<td style="width: 144px;"> </td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">saddle point</td>
<td style="width: 144px;">鞍点</td>
</tr>
<tr>
<td>SOM</td>
<td style="width: 257px;">self organised map</td>
<td style="width: 144px;">自组织映射</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">Semi-Supervised Learning</td>
<td style="width: 144px;">半监督学习</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">sentiment analysis</td>
<td style="width: 144px;">情感分析</td>
</tr>
<tr>
<td>SVD</td>
<td style="width: 257px;">Singular Value Decomposition</td>
<td style="width: 144px;">奇异值分解</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">Spectral Clustering</td>
<td style="width: 144px;">谱聚类</td>
</tr>
<tr>
<td>SGD</td>
<td style="width: 257px;">stochastic gradient descent</td>
<td style="width: 144px;">随机梯度下降</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">supervised learning</td>
<td style="width: 144px;">监督学习</td>
</tr>
<tr>
<td>SVM</td>
<td style="width: 257px;">Support Vector Machine</td>
<td style="width: 144px;">支持向量机</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">synset</td>
<td style="width: 144px;">同义词集</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">T</td>
<td style="width: 144px;"> </td>
</tr>
<tr>
<td>t-SNE</td>
<td style="width: 257px;">T-Distribution Stochastic Neighbour Embedding</td>
<td style="width: 144px;">T-分布随机近邻嵌入</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">Tensor</td>
<td style="width: 144px;">张量</td>
</tr>
<tr>
<td>TPU</td>
<td style="width: 257px;">Tensor Processing Units</td>
<td style="width: 144px;">张量处理单元</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">the least square method</td>
<td style="width: 144px;">最小二乘法</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">Threshold</td>
<td style="width: 144px;">阙值</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">Time Step</td>
<td style="width: 144px;">时间步骤</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">tokenization</td>
<td style="width: 144px;">标记化</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">treebank</td>
<td style="width: 144px;">树库</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">transfer learning</td>
<td style="width: 144px;">迁移学习</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">Turing Machine</td>
<td style="width: 144px;">图灵机</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">U</td>
<td style="width: 144px;"> </td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">unsupervised learning</td>
<td style="width: 144px;">无监督学习</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">V</td>
<td style="width: 144px;"> </td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">Vanishing Gradient Problem</td>
<td style="width: 144px;">梯度消失问题</td>
</tr>
<tr>
<td>VC Theory</td>
<td style="width: 257px;">Vapnik–Chervonenkis theory</td>
<td style="width: 144px;">万普尼克-泽范兰杰斯理论</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">von Neumann architecture</td>
<td style="width: 144px;">冯·诺伊曼架构/结构</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">W</td>
<td style="width: 144px;"> </td>
</tr>
<tr>
<td>W</td>
<td style="width: 257px;">weight</td>
<td style="width: 144px;">权重</td>
</tr>
<tr>
<td> </td>
<td style="width: 257px;">word embedding</td>
<td style="width: 144px;">词嵌入</td>
</tr>
<tr>
<td>WSD</td>
<td style="width: 257px;">word sense disambiguation</td>
<td style="width: 144px;">词义消歧</td>
</tr>
</tbody>
</table>

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