縮寫 | 英語 | 漢語 |
---|---|---|
A |
|
|
Activation Function | 激活函數 |
|
Adversarial Networks | 對抗網絡 |
|
Affine Layer | 仿射層 |
|
agent | 代理/智能體 |
|
algorithm | 算法 |
|
alpha-beta pruning | α-β剪枝 |
|
|
anomaly detection | 異常檢測 |
approximation | 近似 |
|
AGI | Artificial General Intelligence | 通用人工智能 |
AI | Artificial Intelligence | 人工智能 |
association analysis | 關聯分析 |
|
attention mechanism | 注意機制 |
|
autoencoder | 自編碼器 |
|
ASR | automatic speech recognition | 自動語音識別 |
automatic summarization | 自動摘要 |
|
average gradient | 平均梯度 |
|
Average-Pooling | 平均池化 |
|
B |
|
|
BP | backpropagation | 反向傳播 |
BPTT | Backpropagation Through Time | 通過時間的反向傳播 |
BN | Batch Normalization | 分批標準化 |
Bayesian network | 貝葉斯網絡 |
|
Bias-Variance Dilemma | 偏差/方差困境 |
|
Bi-LSTM | Bi-directional Long-Short Term Memory | 雙向長短期記憶 |
bias | 偏置/偏差 |
|
|
big data | 大數據 |
|
Boltzmann machine | 玻爾茲曼機 |
C |
|
|
CPU | Central Processing Unit | 中央處理器 |
chunk | 詞塊 |
|
|
clustering | 聚類 |
|
cluster analysis | 聚類分析 |
co-adapting | 共適應 |
|
co-occurrence | 共現 |
|
Computation Cost | 計算成本 |
|
Computational Linguistics | 計算語言學 |
|
computer vision | 計算機視覺 |
|
|
concept drift | 概念漂移 |
CRF | conditional random field | 條件隨機域/場 |
|
convergence | 收斂 |
CA | conversational agent | 會話代理 |
convexity | 凸性 |
|
CNN | convolutional neural network | 卷積神經網絡 |
|
Cost Function | 成本函數 |
|
cross entropy | 交叉熵 |
D |
|
|
|
Decision Boundary | 決策邊界 |
|
Decision Trees | 決策樹 |
DBN | Deep Belief Network | 深度信念網絡 |
DCGAN | Deep Convolutional Generative Adversarial Network | 深度卷積生成對抗網絡 |
DL | deep learning | 深度學習 |
DNN | deep neural network | 深度神經網絡 |
Deep Q-Learning | 深度Q學習 |
|
DQN | Deep Q-Network | 深度Q網絡 |
DNC | differentiable neural computer | 可微分神經計算機 |
dimensionality reduction algorithm | 降維算法 |
|
|
discriminative model | 判別模型 |
|
discriminator | 判別器 |
|
divergence | 散度 |
|
domain adaption | 領域自適應 |
|
Dropout |
|
|
Dynamic Fusion | 動態融合 |
E |
|
|
|
Embedding | 嵌入 |
|
emotional analysis | 情緒分析 |
|
End-to-End | 端到端 |
EM | Expectation-Maximization | 期望最大化 |
Exploding Gradient Problem | 梯度爆炸問題 |
|
ELM | Extreme Learning Machine | 超限學習機 |
F |
|
|
FAIR | Facebook Artificial Intelligence Research | Facebook人工智能研究所 |
|
factorization | 因子分解 |
feature engineering | 特徵工程 |
|
|
Featured Learning | 特徵學習 |
|
Feedforward Neural Networks | 前饋神經網絡 |
G |
|
|
game theory | 博弈論 |
|
GMM | Gaussian Mixture Model | 高斯混合模型 |
GA | Genetic Algorithm | 遺傳算法 |
|
Generalization | 泛化 |
GAN | Generative Adversarial Networks | 生成對抗網絡 |
Generative Model | 生成模型 |
|
|
Generator | 生成器 |
|
Global Optimization | 全局優化 |
GNMT | Google Neural Machine Translation | 谷歌神經機器翻譯 |
Gradient Descent | 梯度下降 |
|
graph theory | 圖論 |
|
GPU | graphics processing unit | 圖形處理單元/圖形處理器 |
H |
|
|
HDM | hidden dynamic model | 隱動態模型 |
|
hidden layer | 隱藏層 |
HMM | Hidden Markov Model | 隱馬爾可夫模型 |
hybrid computing | 混合計算 |
|
|
hyperparameter | 超參數 |
I |
|
|
ICA | Independent Component Analysis | 獨立成分分析 |
|
input | 輸入 |
ICML | International Conference for Machine Learning | 國際機器學習大會 |
language phenomena | 語言現象 |
|
latent dirichlet allocation | 隱含狄利克雷分佈 |
|
J |
|
|
JSD | Jensen-Shannon Divergence | JS距離 |
K |
|
|
K-Means Clustering | K-均值聚類 |
|
K-NN | K-Nearest Neighbours Algorithm | K-最近鄰算法 |
|
Knowledge Representation | 知識表徵 |
KB | knowledge base | 知識庫 |
L |
|
|
|
Latent Dirichlet Allocation | 隱狄利克雷分佈 |
LSA | latent semantic analysis | 潛在語義分析 |
learner | 學習器 |
|
|
Linear Regression | 線性迴歸 |
|
log likelihood | 對數似然 |
|
Logistic Regression | Logistic迴歸 |
LSTM | Long-Short Term Memory | 長短期記憶 |
|
loss | 損失 |
M |
|
|
MT | machine translation | 機器翻譯 |
Max-Pooling | 最大池化 |
|
Maximum Likelihood | 最大似然 |
|
|
minimax game | 最小最大博弈 |
|
Momentum | 動量 |
MLP | Multilayer Perceptron | 多層感知器 |
multi-document summarization | 多文檔摘要 |
|
MLP | multi layered perceptron | 多層感知器 |
|
multimodal learning | 多模態學習 |
multiple linear regression | 多元線性迴歸 |
|
N |
|
|
Naive Bayes Classifier | 樸素貝葉斯分類器 |
|
named entity recognition | 命名實體識別 |
|
|
Nash equilibrium | 納什均衡 |
NLG | natural language generation | 自然語言生成 |
NLP | natural language processing | 自然語言處理 |
NLL | Negative Log Likelihood | 負對數似然 |
NMT | Neural Machine Translation | 神經機器翻譯 |
NTM | Neural Turing Machine | 神經圖靈機 |
NCE | noise-contrastive estimation | 噪音對比估計 |
|
non-convex optimization | 非凸優化 |
non-negative matrix factorization | 非負矩陣分解 |
|
Non-Saturating Game | 非飽和博弈 |
|
O |
|
|
|
objective function | 目標函數 |
Off-Policy | 離策略 |
|
On-Policy | 在策略 |
|
one shot learning | 一次性學習 |
|
|
output | 輸出 |
P |
|
|
|
Parameter | 參數 |
parse tree | 解析樹 |
|
part-of-speech tagging | 詞性標註 |
|
PSO | Particle Swarm Optimization | 粒子羣優化算法 |
perceptron | 感知器 |
|
polarity detection | 極性檢測 |
|
pooling | 池化 |
|
PPGN | Plug and Play Generative Network | 即插即用生成網絡 |
PCA | principal component analysis | 主成分分析 |
|
Probability Graphical Model | 概率圖模型 |
Q |
|
|
QNN | Quantized Neural Network | 量子化神經網絡 |
|
quantum computer | 量子計算機 |
|
Quantum Computing | 量子計算 |
R |
|
|
RBF | Radial Basis Function | 徑向基函數 |
Random Forest Algorithm | 隨機森林算法 |
|
ReLU | Rectified Linear Unit | 線性修正單元/線性修正函數 |
RNN | Recurrent Neural Network | 循環神經網絡 |
recursive neural network | 遞歸神經網絡 |
|
RL | reinforcement learning | 強化學習 |
representation | 表徵 |
|
representation learning | 表徵學習 |
|
|
Residual Mapping | 殘差映射 |
Residual Network | 殘差網絡 |
|
RBM | Restricted Boltzmann Machine | 受限玻爾茲曼機 |
Robot | 機器人 |
|
Robustness | 穩健性 |
|
RE | Rule Engine | 規則引擎 |
S |
|
|
|
saddle point | 鞍點 |
Self-Driving | 自動駕駛 |
|
SOM | self organised map | 自組織映射 |
|
Semi-Supervised Learning | 半監督學習 |
sentiment analysis | 情感分析 |
|
SLAM | simultaneous localization and mapping | 同步定位與地圖構建 |
SVD | Singular Value Decomposition | 奇異值分解 |
Spectral Clustering | 譜聚類 |
|
Speech Recognition | 語音識別 |
|
SGD | stochastic gradient descent | 隨機梯度下降 |
|
supervised learning | 監督學習 |
SVM | Support Vector Machine | 支持向量機 |
synset | 同義詞集 |
|
T |
|
|
t-SNE | T-Distribution Stochastic Neighbour Embedding | T-分佈隨機近鄰嵌入 |
tensor | 張量 |
|
TPU | Tensor Processing Units | 張量處理單元 |
|
the least square method | 最小二乘法 |
Threshold | 闕值 |
|
Time Step | 時間步驟 |
|
tokenization | 標記化 |
|
treebank | 樹庫 |
|
|
transfer learning | 遷移學習 |
Turing Machine | 圖靈機 |
|
U |
|
|
|
unsupervised learning | 無監督學習 |
V |
|
|
Vanishing Gradient Problem | 梯度消失問題 |
|
VC Theory | Vapnik€€Chervonenkis theory | 萬普尼克-澤範蘭傑斯理論 |
|
von Neumann architecture | 馮€€諾伊曼架構/結構 |
W |
|
|
WGAN | Wasserstein GAN |
|
W | weight | 權重 |
word embedding | 詞嵌入 |
|
WSD | word sense disambiguation | 詞義消歧 |
X |
|
|
Y |
|
|
Z |
|
|
ZSL | zero-shot learning | 零次學習 |
|
zero-data learning | 零數據學習 |
人工智能相關術語
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