A Collection of Slangs for Artificial Intelligence. 人工智能黑话集
| English | 中文 |
|---|---|
| Activation function | 激活函数 |
| Autoregressive model | 自回归模型 |
| Back Propagation | 反向传播 |
| Bag-of-words model | 词袋模型 |
| Batch Normalization | 批归一化 |
| Bayesian model | 贝叶斯模型 |
| Causal inference | 因果推理 |
| Classification | 分类 |
| Classifier | 分类器 |
| Clustering | 聚类 |
| Computer Vision | 计算机视觉 |
| Contrastive learning | 对比学习 |
| Convex optimization | 凸优化 |
| Convolutional kernel | 卷积核 |
| Convolutional Neural Network | 卷积神经网络 |
| Cost function | 代价函数 |
| Cross entropy | 交叉熵 |
| Decision Tree | 决策树 |
| Decoder | 解码器 |
| Deep Learning | 深度学习 |
| Deep Neural Network | 深度神经网络 |
| Encoder | 编码器 |
| Ensemble | 集成 |
| Few-shot learning | 少样本学习 |
| Finetune | 微调 |
| Gated Recurrent Unit | 门控循环单元 |
| Generative Adversarial Network | 生成对抗网络 |
| Gradient descent | 梯度下降 |
| Gradient exploding | 梯度爆炸 |
| Gradient vanishing | 梯度消失 |
| Graph Convolutional Network | 图卷积网络 |
| Graph Neural Network | 图神经网络 |
| Hidden layers | 隐藏层 |
| Hidden Markov Model | 隐马尔科夫模型 |
| Hyperparameter | 超参数 |
| Inaccurate supervision | 不准确监督 |
| Incomplete supervision/Semi-supervised learning | 不完全监督/半监督学习 |
| Inexact supervision | 不确切监督 |
| K-Means | K均值 |
| K-Nearest Neighbour | K近邻 |
| Knowledge distillation | 知识蒸馏 |
| Language model | 语言模型 |
| Layer Normalization | 层归一化 |
| Linear Regression | 线性回归 |
| local connection | 局部连接 |
| Logistics Regression | 逻辑回归 |
| Long Short-Term Memory | 长短期记忆 |
| Loss function | 损失函数 |
| Machine Learning | 机器学习 |
| Machine translation | 机器翻译 |
| Matrix factorization | 矩阵分解 |
| Maximum Likelihood Estimation | 最大似然估计 |
| Max-pooling | 最大池化 |
| Mean-pooling | 平均池化 |
| Mean-Square Error | 均方误差 |
| Meta learning | 元学习 |
| Multi-Layer Perceptron/Feed-Forward Network | 多层感知机/前馈神经网络 |
| Multimodal | 多模态 |
| Multi-Task Learning | 多任务学习 |
| Natural Language Processing | 自然语言处理 |
| Natural Language Understanding | 自然语言理解 |
| Neural Network/Artificial Neural Network | 神经网络/人工神经网络 |
| Non-convex optimization | 非凸优化 |
| One-hot encoding | 独热编码 |
| Overfitting | 过拟合 |
| Pretrain | 预训练 |
| Principal Component Analysis | 主成分分析 |
| Random forest | 随机森林 |
| Recommender system | 推荐系统 |
| Rectified Linear Unit | 修正线性单元 |
| Recurrent Neural Network | 循环神经网络 |
| Regularization | 正则化 |
| Reinforcement Learning | 强化学习 |
| Representation learning | 表征学习 |
| Residual Network | 残差网络 |
| Reward function | 奖励函数 |
| Robustness | 鲁棒性 |
| Self-attention | 自注意力机制 |
| Self-supervised learning | 自监督学习 |
| Semantic segmentation | 语义分割 |
| Shared weight | 权值共享 |
| Shift-invariant | 平移不变性 |
| Stochastic Gradient Descent | 随机梯度下降 |
| Supervised learning | 监督学习 |
| Support Vector Machine | 支持向量机 |
| Temporal based | 基于时序 |
| Text classification | 文本分类 |
| Text generation | 文本生成 |
| Transfer learning | 迁移学习 |
| Underfitting | 欠拟合 |
| Unsupervised learning | 无监督学习 |
| Weakly supervised learning | 弱监督学习 |
| Word embedding | 词嵌入 |
| Zero-shot learning | 零样本学习 |