Chinese translation - Atcold/NYU-DLSP20 GitHub Wiki
Workload distribution
| File name | Translator | Start date | Publish date | Reviewers |
|---|---|---|---|---|
README.md |
jiqihumanR | [x] | Mingyang | |
index.md |
Mingyang | [x] | ||
01.md |
Mingyang | [x] | jiqihumanR | |
01-1.md |
lejinghu, Mingyang | [x] | zhounan | |
01-2.md |
jiqihumanR | [x] | lejinghu | |
01-3.md |
titusjgr | [x] | Lin | |
lecture01.sbv |
||||
practicum01.sbv |
||||
02.md |
Matt | [x] | Yusu | |
02-1.md |
eric | [x] | Mingyang | |
02-2.md |
titusjgr | [x] | Shengkun Tang | |
02-3.md |
titusjgr | [x] | Shengkun Tang | |
lecture02.sbv |
||||
practicum02.sbv |
||||
03.md |
jiqihumanR | [x] | Mingyang ⌛ | |
03-1.md |
jiqihumanR | [x] | Mingyang ⌛ | |
03-2.md |
Mingyang | [x] | ||
03-3.md |
Matt | [x] | Mingyang ⌛ | |
lecture03.sbv |
||||
practicum03.sbv |
||||
04.md |
jiqihumanR | [x] | ||
04-1.md |
jiqihumanR | [x] | ||
practicum04.sbv |
||||
05.md |
Shengkun Tang | [x] | ||
05-1.md |
Shengkun Tang | [x] | ||
05-2.md |
Harry Yang | [x] | ||
05-3.md |
titusjgr | 2020-04-04 | 2020-04-13 | |
lecture05.sbv |
||||
practicum05.sbv |
||||
06.md |
jiqihumanR | 2020-04-17 | [x] | |
06-1.md |
jiqihumanR | 2020-04-17 | ||
06-2.md |
Jonathan Sum | 2020-06-10 | 2020-06-20 | |
06-3.md |
Elizabeth Zhao | 2020-06-11 | 2020-06-18 | |
07.md |
Jonathan Sum | 2020-06-10 | 2020-06-11 | |
07-1.md |
jiqihumanR | 2020-04-17 | ||
07-2.md |
Jonathan Sum | 2020-06-10 | 2020-06-19 | |
07-3.md |
Jonathan Sum | 2020-06-10 | 2020-06-20 | |
08.md |
Jonathan Sum | 2020-06-10 | 2020-06-15 | |
08-1.md |
Jonathan Sum | 2020-06-10 | 2020-06-15 | |
08-2.md |
Jonathan Sum | 2020-06-10 | 2020-06-15 | |
08-3.md |
Elizabeth Zhao | 2020-06-20 | 2020-06-23 | |
09.md |
Teresa Huang | |||
09-1.md |
Teresa Huang | |||
09-2.md |
Zeping Zhan | |||
09-3.md |
Jonathan Sum | 2020-06-10 | 2020-06-15 | |
10-1.md |
Jonathan Sum | 2020-06-20 | 2020-06-27 | |
10.md |
Elizabeth Zhao | 2020-06-29 | 2020-06-29 | |
10-1.md |
Jonathan Sum | 2020-06-20 | 2020-06-27 | |
10-2.md |
Elizabeth Zhao | 2020-07-03 | ||
10-3.md |
Elizabeth Zhao | 2020-06-25 | 2020-07-02 | |
11.md |
titusjgr | 2020-09-03 | 2020-09-04 | |
11-1.md |
Jonathan Sum | 2020-07-01 | 2020-07-06 | |
11-2.md |
Che Wang | 2020-09-18 | ||
11-3.md |
Jonathan Sum | 2020-07-05 | 2020-07-10 | |
12.md |
Jonathan Sum | 2020-09-02 | 2020-09-04 | |
12-1.md |
eric | 2020-06-27 | ||
12-2.md |
Shengkun Tang | 2020-07-16 | ||
12-3.md |
Shengkun Tang | 2020-08-30 | ||
13.md |
Shengkun Tang | 2020-09-03 | ||
13-1.md |
Yusu | |||
13-2.md |
Jonathan Sum | 2020-09-04 | 2020-09-16 | |
13-3.md |
Jonathan Sum | 2020-09-16 | 2020-09-17 | |
14.md |
Jonathan Sum | 2020-09-03 | 2020-09-04 | |
14-1.md |
titusjgr | 2020-09-18 | ||
14-2.md |
Yang Zhou | 2021-01-31 | 2021-01-31 | |
14-3.md |
Yang Zhou | 2021-02-03 | 2021-02-03 | |
15.md |
Yang Zhou | 2021-02-04 | 2021-02-04 | |
15-1.md |
Yang Zhou | 2021-02-04 | 2021-02-04 | |
15-2.md |
Yang Zhou | 2021-02-04 | 2021-02-05 |
Terminology conventions
Terms
| Term | Targeted Chinese |
|---|---|
| activation | 激活值 |
| activation function | 激活函数 |
| activation-selective neuron | 选择性激活神经元 |
| actor critic | 演员-评判家 |
| affine transformation | 仿射变换 |
| argument(programming) | 实参 |
| (artificial) neural network | (人工)神经网络 |
| attention | 注意力机制 |
| autonomous vehicles | 自动驾驶(技术) |
| back propagation | 反向传播(算法) |
| batch | 批次 |
| batch normalization | 批量归一化 |
| batch size | 批次大小 |
| bias | 偏置 |
| chain rule | 链式法则 |
| combinational logic | 组合电路 |
| contrast normalization | 对比度归一化 |
| contrastive learning | 对比学习 |
| convergence | 收敛 |
| convolution | 卷积 |
| cost function | 代价函数 |
| cybernetic | 控制论 |
| deep-learning | 深度学习 |
| digital electronics | 数字电路 |
| discriminative model | 判别模型 |
| distortion | 畸变 |
| divergence | 发散 |
| embedding | 嵌入 |
| Energy-Based Models | 能量基础模型 |
| Energy-Based Factor Graph | 能量基础因素图形 |
| ensemble | 集成 |
| epoch | 周期 |
| explicit | 显性的 |
| flip-flop | 触发器 |
| forward algorithm | 前向式算法 |
| forward pass | 前向传播 |
| fully connected layer | 全连接层 |
| generative model | 生成模型 |
| gradient descent | 梯度下降(算法) |
| Graph Transformer Networks, GTNs | 图形式变压器网路 |
| hierarchical representation | 层次结构 |
| hypernetwork | 超网络 |
| image classification | 图像分类 |
| image segmentation | 图像分割 |
| implicit | 隐性的 |
| inductive bias | 归纳偏置 |
| inference | 推断 |
| Jacobian matrix | 雅可比矩阵 |
| lane tracking | 车道跟踪 |
| latent space | 隐空间 |
| latent variable | 隐变量 |
| learning rate | 学习率 |
| logistic regression | 逻辑回归 |
| loss function | 损失函数 |
| Nash equilibrium | 纳什均衡 |
| nearest neighbor | 近邻算法 |
| object detection | 目标检测 |
| parameters(programming) | 形参 |
| pattern recognition | 模式识别 |
| penalty term | 惩罚因子 |
| pooling | 池化(下采样) |
| receptive field | 感受野 |
| reflection | 反射 |
| regularization | 正则化 |
| rotation | 旋转 |
| scalar | 标量 |
| scaling | 缩放 |
| self-supervised learning | 自监督学习 |
| semantic segmentation | 语义分割 |
| sequential data | 序列数据 |
| sequential logic | 时序逻辑电路 |
| sequential model | 序列模型 |
| shearing | 错切 |
| stochastic gradient descent | 随机梯度下降法 |
| supervised learning | 监督学习 |
| TDNN | 时延神经网络 |
| tensor | 张量 |
| translation | 平移 |
| trajectory | 轨迹 |
| unsupervised learning | 无监督学习 |
| vanilla | 基础型 |
| visual cortex | 视觉皮层 |
| weight | 权重 |
| weight decay | 权重衰减 |
| weighted sum | 加权和 |
Names of people
| Term | Targeted Chinese |
|---|---|
| Kunihiko Fukishima | 福岛邦彦 |
Do not translate
| Term | Explanation |
|---|---|
| ClusterFit | ClusterFit |
| CNN | Convolutional Neural Network 卷积网络 |
| dropout | dropout |
| GAN | generative adversarial networks 生成对抗网络 |
| GPU | GPU |
| Jupyter Notebook | An open-source live document |
| one-hot | one-hot |
| pretext task | Did not find a formal translation |
| PyTorch | PyTorch |
| ReLU | Rectified linear unit 修正线性单元 |
| Transformer | Transformer |
| VAE | Variational Auto-Encoder 变分自编码器 |
| Vanilla NN | Vanilla Neural Network ("vanilla" means "plain") |